Dec 2022 – Mar 2024 · 1 yr 3 mos · Mumbai, Maharashtra, India · On-site

• Meet7 is a paradigm changing dating singles app, to bring the ‘Date’ back into dating. We aim to change dating for the better by focusing on bettering the interactions amongst users, and not just getting them to swipe more and more.
• Engineered a high-performance backend using Node.js that seamlessly integrated multiple microservices, ensuring reliable, scalable, and secure operations as user demand grew.
• Led the development of a cross-platform voice calling feature using Flutter, delivering seamless audio connectivity on both Android and iOS. This innovation not only enriched user interaction but also set a new standard in real-time communication within dating apps.
• Collaborated with my team to implement a sophisticated face verification system featuring selfie-based identity checks and liveliness detection. Additionally, I developed backend algorithms for deduplication, effectively identifying duplicate accounts and flagging profiles masquerading as the opposite gender to preserve platform integrity.
• Pioneered the use of federated machine learning, which allowed user preferences—such as favored facial features, social cues, and subtle behavioral indicators—to be processed directly on the device. This approach maintained data privacy while enhancing the matchmaking process by tailoring profile recommendations for higher engagement based on users’ subconscious signals.
• Oversaw strategic planning and the integration of external analytics tools to enable real-time performance tracking. I also explored advanced recommendation engines, sentiment analysis, and other AIML techniques to continuously refine user compatibility, ensuring that Meet7 remained at the forefront of innovation in the dating industry.
• This portfolio of accomplishments demonstrates my ability to drive technological innovation, optimize user experience, and implement secure, scalable solutions that redefine standards in the competitive dating app space.

Sep 2020 – Present · 5 yrs 8 mos · India · Remote

• In my role as an Upgrad Xpert Mentor, I have been coaching and guiding students in the Machine Learning and AI Post Graduate Diploma program for four years. I consistently maintain an average rating of 4.3 and above, reflecting my commitment to fostering academic excellence and practical expertise in this rapidly evolving field.
• Expert Coaching & Mentorship:
• I facilitate engaging, interactive sessions that cover the comprehensive curriculum designed by IIITB. My approach emphasizes hands-on learning, critical thinking, and real-world application of machine learning and AI concepts, ensuring students are well-equipped to tackle industry challenges.
• Curriculum & Project Guidance:
• By providing detailed insights into assignments, projects, and course content, I help students grasp complex topics ranging from statistical modeling and deep learning to data analytics and AI-driven decision-making. This guidance prepares them for successful careers in data science and technology.
• Consistent Performance & Impact:
• My consistently high ratings reflect my dedication to student success. I work closely with each student to identify their unique learning needs, offering personalized support and practical advice that enhances their understanding and application of course materials.
• Industry-Relevant Insights:
• With extensive experience in advanced analytics and technology, I integrate real-world case studies and current industry trends into the classroom. This approach not only enriches the learning experience but also helps students connect theoretical concepts with practical applications in today’s competitive landscape.
• Through my mentorship, I have empowered countless aspiring data professionals to achieve their academic and career goals, ensuring they are well-prepared to contribute to and lead in the fields of Machine Learning and Artificial Intelligence.

Apr 2017 – Dec 2022 · 5 yrs 8 mos

• As Principal Architect, leveraging my expertise in advanced analytics, Big Data engineering, and machine learning, I led the development of scalable data-driven solutions with seamless integration into mission-critical system that transformed customer engagement and operational efficiency across industries.
• Spearheaded creation of the patented "Customer Genomics" platform—a cloud-based solution built on a Hadoop/Cassandra framework that employs advanced deep learning to predict the next best action. Deployed across several leading financial institutions, this innovative platform generated significant impact and over 1300+ crore in additional revenue for a major mutual funds bank within two years.
• Architected comprehensive data solutions for a prominent investment firm and developed sophisticated customer segmentation strategies for a leading telecom operator. These initiatives empowered clients to extract deep behavioral insights and refine their targeting strategies.
• Delivered robust solutions using diverse programming languages—Python, Golang, Java—across multiple cloud platforms (GCP, Azure, AWS) and NoSQL databases (e.g. MongoDB, Cassandra, HBase), ensuring exceptional performance and scalability. For a predictive maintenance project for the Indian Navy, we re-engineered open source packages in-house to meet strict on-premise security standards, including a proprietary OCR implementation for sensitive data processing.
• As a founding member of the AIML group, I helped drive focus on emerging AI and machine learning innovations, fostering a culture of continuous technological advancement.
• Contributed to a voluntary initiative to develop a COVID tracker website for India.
• This comprehensive portfolio underscores my ability to drive strategic innovation, merge cutting-edge technology with real-world business needs, and deliver transformative results in dynamic, data-centric environments.

Apr 2013 – Mar 2017 · 3 yrs 11 mos

• In this strategic leadership role, leveraged my deep technology background and Big Data expertise to spearhead Fractal Analytics’ Big Data practice.
• Led initiatives to architect and implement robust Big Data solutions and data warehousing projects. One notable engagement was a data warehousing project for a major cable company, where I ensured real-time analytics capabilities that empowered enhanced, data-driven decision-making.
• As one of the founding members of “Fractal Sciences,” helped launch this internal innovation hub to deepen our focus on emerging technologies and breakthrough analytics solutions, setting the stage for a culture of continuous innovation.
• Led a team to develop “Trial Run,” a product implemented at two prominent retail chain that enabled businesses to test new ideas at scale. By integrating state-of-the-art causal inference techniques—such as Propensity Score Matching and the Synthetic Control Method we ensured unbiased comparisons between test and control groups.
• Led team that created “Segmentron,” a sophisticated tool that leverages advanced clustering methods, including GMM, Hierarchical Clustering, and Latent Class Analysis, to unearth distinct customer segments.
• Contributed to the initial development of “Customer Genomics,” and worked on patent-pending probabilistic learning to segment customers into abstract groups (e.g., Expert, Intermediate, Novice). This product was well received by major clients, unlocking deeper customer insights and refining targeting strategies.
• Developed a Windows DLL library for leading insurance firm, creating an advanced insurance underwriting engine, to automate risk scoring and underwriting decisions, streamlining processes and improving efficiency in insurance underwriting.
• The portfolio of projects underscores my ability to drive strategic innovation, combine advanced analytics with real-world business needs, and deliver measurable outcomes in dynamic, data-centric environments.

Apr 2011 – Mar 2013 · 1 yr 11 mos

• In my role as a Senior Business Consultant, I leveraged my advanced training in business analytics from the IIT Bombay Shailesh J Mehta School of Management to deliver actionable insights and strategic recommendations for global financial clients.
• Collaborated with Visa UK to implement an Excel-based dashboard for the Customer Analytics Reporting System (CARS). This solution streamlined data visualization, enhanced reporting efficiency, and provided real-time insights into key card performance metrics.
• Developed a tool that enabled direct engagement with bank managers. By gathering key insights through structured interviews, the tool automatically generated comprehensive PowerPoint presentations with actionable recommendations. This project, executed for Visa LAC, significantly improved strategic decision-making and client engagement.
• Led consulting initiatives for a payment processing firm that involved comprehensive process mapping, KPI identification, and performance benchmarking. These efforts resulted in a 20% improvement in transaction processing efficiency and a measurable increase in revenue by streamlining operational workflows and enhancing client reporting.

Apr 2009 – Mar 2011 · 1 yr 11 mos

• In my role as a Project Manager, I led cross-functional teams to deliver strategic, data-driven solutions for high-profile clients. My projects focused on leveraging advanced analytics, machine learning, and automation technologies to empower organizations with actionable insights across pricing, insurance, and retail optimization.
• Pricing Analysis Tool for a Leading Global Retailer: I managed the development of a comprehensive pricing analysis tool for a Fortune 500 global retailer. This solution integrated real-time market data, statistical modeling, and interactive dashboards to optimize pricing strategies and enhance competitive positioning.
• Pincer – Insurance Pricing Software: I oversaw the creation of Pincer, an advanced insurance pricing platform that employed predictive analytics and risk modeling techniques to determine optimal premiums, enabling insurers to maximize profitability while maintaining competitive pricing.
• Assortment Optimization Engine: I directed a project that developed an assortment optimization engine. This solution analyzed consumer behavior and sales data to recommend the optimal product mix, helping retailers maximize revenue and better meet customer demand.
• Key Value Items (KVI) Optimization Solution: I led a project focused on optimizing Key Value Items. This solution identified high-impact, high-margin products and refined inventory and pricing strategies to ensure a competitive advantage and improved profitability for retailers.

Apr 2007 – Mar 2009 · 1 yr 11 mos

• In my role as Product Manager, I led a multidisciplinary team to develop and deploy innovative data-driven solutions that leveraged advanced NLP, machine learning, and web scraping technologies to enhance customer engagement and operational efficiency.
• Eavesdrop – An NLP-based Sentiment Analysis Platform: For instance, I directed the development of “Eavesdrop,” an end-to-end NLP solution that automated the data collection of reviews using state-of-the-art parsers (including the Stanford Parser and Charnaik Parsers). This platform extracted key factors driving user sentiments and gauged customer resonance with products and services.
• Email Prioritization & Sentiment Analysis for Leading Indian Banks: For example, I implemented topic modeling and sentiment analysis to automate email prioritization for several leading banks in India, significantly improving customer satisfaction and accelerating response times by effectively sorting and prioritizing emails.
• Scorecard Integration – Real-Time Applicant Scoring Engine: For example, I led the development of a scorecard integration engine that enabled real-time scoring of loan applicants based on tokens purchased. This innovation expedited the loan approval process by providing dynamic, accurate assessments of applicant risk profiles.
• .NET-Based Web Scraping Tool for Competitive Intelligence: For instance, I oversaw the creation of a robust .NET tool designed to scrape and aggregate data from multiple business review platforms such as Trip Advisor and Amazon, as well as extract pricing data from major retailers like Lowe’s and Home Depot. This tool even incorporated OCR to extract pricing information from images, enhancing the scope of data collected.

Mar 2006 – Mar 2007 · 1 yr

• I played a pivotal role in streamlining data-driven decision-making processes for SAP Global and other major clients. My focus on automating complex reporting systems and leveraging advanced analytical techniques helped drive efficiency and accuracy in critical business operations.
• Automated Reporting & Presentation Generation: For instance, engineered an Excel macro and PowerPoint automation solution that generated over 100 dynamic slides, streamlining the creation of comprehensive market mix modeling presentations; another example is the automation of the entire MIS reporting process for SAP Global's website traffic, significantly reducing manual effort and ensuring timely, accurate data delivery.
• Data Wrangling & Quality Enhancement: For example, designed Python-based deduplication and fuzzy matching algorithms to improve data quality and integrity across large datasets.
• Advanced Data Transformation & Analytics: For instance, developed an Excel-based solution for the inversion of large matrices—an application likely used for computing regression coefficients in multivariate linear regression models—which enhanced the accuracy of predictive analytics and forecasting.

Apr 2004 – Feb 2006 · 1 yr 10 mos · Mumbai, Maharashtra, India

• As a Managing Partner, I not only continued to drive technological innovation but also led strategic initiatives that positioned Shopkeeper Solutions as a market leader in retail management software in Mumbai. We added another 100 clients in Mumbai, with installations at Police Headquarters in Worli, Thakkar Mall in Borivali, and the Canteen Store Department at INS Hamla (Marve, Indian Navy).
• Oversaw product strategy and development for a feature-rich retail management system that integrated essential modules for customer management, billing, inventory, and more—catering to a diverse client base.
• Drove business growth by ensuring the software met the evolving needs of retail clients, resulting in widespread adoption among prestigious institutions such as Police Headquarters, INS Hamla, and Thakkar Mall.
• Expanded the MIS reporting capabilities to deliver comprehensive insights through 300+ customizable reports, empowering clients with actionable data for strategic decision-making.

Apr 2003 – Mar 2004 · 11 mos · Mumbai, Maharashtra, India

• In my early tenure at Shopkeeper Solutions, I played a pivotal role in developing a comprehensive Retail Management Software that served over 50 clients in Mumbai—including reputed organizations such as the Police Headquarters (Naigaon).
• Developed core modules using .NET, including Customer Management, Goods Receivable, Goods Returned, Billing, Offers & Discount Management, Barcoding, and Inventory Management.
• Engineered an advanced MIS reporting suite featuring approximately 300 reports, enabling data-driven decision-making for retail managers through real-time insights.
• Implemented a robust and scalable architecture that streamlined retail operations and enhanced the overall efficiency of the software solution.

Apr 2000 – Mar 2003 · 2 yrs 11 mos · New Delhi, Delhi, India · On-site

• At Positive Comsol, a pioneer in SMS-based services in India, I served as the Lead Solution Architect. We achieved a significant milestone by launching the country’s first SMS-based countdown show—ETC Punjabi Sadda Top Ten—which redefined mobile engagement and set new industry benchmarks.
• Spearheaded the design and development of an SMS application using both SMPP and CIMD protocols, effectively establishing a robust SMS gateway for leading telecom networks such as Orange, BPL, and Spice Telecom Networks.
• Led a dedicated team to architect and implement scalable, reliable messaging solutions that powered the success of the countdown show, SMS based games. Our efforts positioned Positive Comsol as a trailblazer in leveraging mobile technology to drive user engagement and transform digital communication.
• My tenure at Positive Comsol was marked by a deep commitment to pioneering mobile communication technologies, driving innovations that reshaped the way audiences engaged with digital content and setting the stage for a new era in mobile entertainment.

Apr 1998 – Mar 2000 · 1 yr 11 mos · New Delhi, Delhi, India · On-site

• In the pioneering days of the digital revolution, and also my first job, I joined Khata.com—a pioneering startup from Delhi and the first online accounting application in India. Tasked with building the digital backbone of an innovative accounting platform that ultimately attracted over 500 paid customers, I laid the groundwork for secure, scalable, and user-centric financial software.
• Developed engaging, interactive web pages using PHP, Perl, and HTML, establishing a robust and intuitive interface for online accounting.
• Designed and implemented an offline version using Visual Basic backed by an MS Access database. Developed a synchronization mechanism to seamlessly merge data between local installations and the central MySQL server.
• Implemented robust data protection by encrypting sensitive financial records stored in the MySQL database using Triple DES encryption. This ensured that data remained secure during transmission and storage, with decryption performed on the fly for safe front-end display and data synchronization with MS Access.
• My tenure at Khata.com was the catalyst for a career defined by continuous innovation and a steadfast commitment to leveraging emerging technologies to solve complex, real-world challenges.