Dec 2023 – Jul 2024 · 7 mos

• Senior technology leader with extensive experience in advanced analytics, data engineering, and cloud transformation, driving enterprise-scale innovation and platform modernization.
• Led a 180+ member chapter in Advanced Analytics Systems & Platform to build a next-generation banking platform enabling multiple business units to securely onboard as tenants and deploy/run ML models at scale.
• Spearheaded a successful AWS migration journey from on-premises to cloud, integrating technologies like Snowflake, Apache Airflow, and advanced data pipelines to enhance scalability and performance.
• Delivered platform observability, managed enterprise-level analytics and BI applications, automated processes to accelerate delivery timelines, and streamlined model deployment infrastructure for operational efficiency.
• Partnered with Heads of Product and Chief Engineers to align the capability roadmap with the organization’s DevSecOps vision, ensuring agility, security, and compliance across the platform.
• Championed innovation via hackathons and automation initiatives across AWS, Teradata, and Pega Systems, embedding DevSecOps practices into both development and testing workflows.
• Oversaw Pega Capability to drive “Next Best Conversion” deliveries, generating highly personalized customer offers in line with Pega Centre of Excellence best practices.
• Built a Gen AI team from scratch to develop LLM-based solutions, fostered continuous learning via L&D initiatives, and led the Generational Diversity Employee Network in India to promote inclusion.

Jan 2023 – Jan 2024 · 1 yr

• Lead the System and Software Engineering practice in India for the Chief Data and Analytics Office (CDAO), driving innovation in data and AI for the banking sector.
• Oversee the development of MLOps pipelines and scalable Data Warehouse, Machine Learning, and Decisioning platforms to enable the next-generation data and AI ecosystem.

Jul 2019 – Jan 2023 · 3 yrs 6 mos · Bengaluru Area, India

• Experienced technology professional with a strong track record across Big Data, Machine Learning, and Advanced Analytics, delivering solutions for diverse industries including retail, entertainment, and fintech.
• Hands-on expertise in building ML models (Supervised, Unsupervised, and Deep Learning) and mentoring teams in end-to-end model development—from data preparation to production deployment.
• Designed and implemented big data pipelines leveraging Apache Spark, ensuring scalability, performance, and reliability for high-volume data processing.
• Well-versed in cloud deployment and scaling across major platforms, including AWS and Google Cloud Platform (GCP).
• In the food chain retail sector (e.g., McDonald’s), developed data-driven solutions to optimize food delivery times, improving operational efficiency and customer satisfaction.
• For Majid Al Futtaim, delivered highly personalized booking, ticketing, and food & beverage services powered by data analytics and ML-driven recommendation systems.
• Worked with NatWest on AI/ML-driven fintech solutions, including bond pricing prediction models and causal ML approaches to improve decision-making and risk management.
• Recognized for blending technical depth with business insight, enabling impactful, scalable, and client-focused analytics solutions that drive measurable results.

Jan 2017 – Jul 2019 · 2 yrs 6 mos

Dec 2013 – Jan 2017 · 3 yrs 1 mo

• As a founding team member at a Princeton startup, played a pivotal role bridging product, marketing, and engineering to deliver innovative, scalable Big Data and cloud-based solutions. Key highlights include:
• Industry Collaboration: Included in research projects in partnership with major telecom providers (Verizon, AT&T, T-Mobile), addressing real-world problems and driving adoption of cutting-edge technology.
• End-to-End Solution Delivery: Led the full lifecycle of large-scale projects—from proof-of-concept (POC) and minimum viable product (MVP) development to delivery of production-grade, scalable solutions serving over 1 million customers.
• Business-Technical Translation: Collaborated with product and marketing teams to translate complex business use cases into robust technical solutions on distributed big data platforms.
• Advanced Data Engineering & Analytics: Designed and implemented algorithms for data processing and predictive analytics, normalizing and analyzing massive datasets using Apache Spark, Snappy, MongoDB, Aerospike, Redis, BigQuery.
• Machine Learning Innovation: Developed and tested custom ML models (Python, Matlab, TensorFlow), applying deep learning, neural networks, regression, decision trees, and clustering/classification techniques to production data.
• Intellectual Property: Filed 4 US patents in data processing, cloud solutions, and AI applications.
• SaaS and Cloud Development: Delivered scalable SaaS components (e.g., DNS systems with million+ user access), streaming solutions (RTSP/HTTP) behind Nginx load balancing, and rapid prototyping on AWS and mobile platforms.
• Performance & Benchmarking: Built custom load testing workflows (Python, R, Elasticsearch), benchmarked cloud components, and engineered automation for enterprise-grade end-to-end performance validation.

Aug 2011 – Dec 2013 · 2 yrs 4 mos · Bengaluru Area, India · On-site

• At an Indian mid-scale DSP IP patent company founded by ex-Managing Director Texas Instruments, played a key role in driving product innovation and technical leadership in digital media streaming and content delivery.
• Product Lead & Industry Recognition: Championed HLS and MPEG-DASH server-side streaming solutions, showcased at Broadcast NAB Show 2013, Las Vegas, demonstrating next-generation broadcast capabilities to industry leaders.
• Streaming Architecture & Engineering: Architected and designed a robust Adaptive Streaming framework, including a segmenter module integrated with both external web servers (IIS, Apache) and embedded device web servers, with WEBDAV support—implemented in C for performance and scalability.
• API & CDN Integration: Developed and deployed REST-based APIs for IIS and Apache (.PHP, .NET, WinAPI), enabling smooth integration and secure media delivery across major Content Distribution Networks (CDN) using Basic and Digest authentication methods.
• Transcoding & Workflow Pipelines: Built streaming pipelines generating MP4 and TS segments through full transcoding workflows (decode → de-interlace → encode), tailored for Android and iOS profiles on the TI DM8168 platform.
• Audio Codec Integration: Integrated multiple audio codecs into custom streaming and transcoding workflow engines, ensuring high-quality multimedia experiences across diverse devices.

Apr 2011 – Jul 2011 · 3 mos · Helsinki

• Experienced software engineer with expertise in QT-based application development for emerging mobile platforms, specifically Nokia’s Linux-based Maemo and MeeGo operating systems.
• Designed and implemented advanced mobile applications, including Location-Based Services (LBS) and audio streaming solutions, optimized for performance and usability on next-generation devices.
• Skilled in system-level debugging and crash resolution, with hands-on experience analyzing device core dumps and fixing issues using GDB, ensuring stability and reliability.
• Developed Linux services for Maemo/MeeGo that leveraged Dbus messaging to infer and respond to phone state changes, enabling seamless integration with system components.
• Collaborated closely with platform teams, integrating applications with hardware and OS-level services to deliver smooth end-user experiences.
• Applied deep knowledge of Linux internals, IPC mechanisms, and embedded application architectures to solve performance and stability issues.
• Contributed to Nokia’s strategic efforts to expand its new Linux mobile ecosystem, supporting feature innovation for competitive differentiation.
• Recognized for problem-solving skills and cross-domain expertise spanning application development, OS-level services, and embedded debugging.

Feb 2011 – May 2013 · 2 yrs 3 mos · Helsinki

• Experienced in data engineering and applied machine learning, with a strong focus on geospatial data extraction and analysis.
• Designed and implemented a web crawler to extract users’ GPS information from Garmin Cloud Services, leveraging PhantomJS for automated data retrieval.
• Developed custom machine learning models to study the correlation between altitude and user track location, aiming to identify travel routes without relying on GPS, optimizing for mobile power efficiency.
• Applied curve matching algorithms to analyze altitude variations across track locations, successfully distinguishing different modes of transport.
• Co-authored a peer-reviewed journal article and an ACM conference paper, highlighting research expertise in geospatial analytics and intelligent mobility.
• Engineered a citywide bandwidth map using crowdsourced data and clustering algorithms, showcasing practical innovation in urban mobility and connectivity insights.

Jun 2009 – Aug 2010 · 1 yr 2 mos · Helsinki

• Worked as a research assistant with Nokia Research Centre on Multimedia (video) project on open source platforms like VLC, Darwin Streaming Server and Live555 for N810 and N900. The objective of the project is to improve video streaming.
• Master's Thesis: CrowdSourcing mobile internet access statistics to improve video streaming.
• Professor : Joerg Ott (Aalto University)
• Professor : Antii Ylaski (Aalto University)
• Varun Singh (Aalto University), Igor Curcio (NRC)
• The goal of the master's thesis is to develop a learning system that constantly learns bandwidth information from mobile users for every change of GPS coordinate. It then builds a map based on network congestion information. The bandwidth prediction tool built can be used to provide network congestion information to mobile users at any instant

Jan 2008 – Jan 2011 · 3 yrs · Helsinki

Aug 2010 – Jul 2011 · 11 mos · Helsinki

• Developed mobile applications for Android and Nokia platforms, including mobile spyware and streaming solutions for Android devices.

Oct 2008 – Sep 2009 · 11 mos · Helsinki

• Experienced software engineer with expertise in VoIP business communication products and scalable distributed systems, primarily focused on SIP-based hard phones within the SAP Business Communication Management (BCM) platform.
• At SAP Labs (R&D), contributed to the design, development, and optimization of SIP hard phones, ensuring high availability, low latency, and seamless integration within large-scale enterprise telephony systems.
• Implemented and optimized SIP signaling flows, enhanced call handling features, and improved interoperability with PBX systems, gateways, and unified communication platforms.
• Collaborated with cross-functional teams on end-to-end product lifecycle — from architecture to deployment — ensuring reliability for business-critical voice communication in distributed environments.
• Delivered performance improvements and scalability enhancements, enabling enterprise-grade VoIP solutions to handle thousands of concurrent connections with minimal downtime.
• Recognized for problem-solving and innovation in real-time communication systems, contributing to SAP’s ability to deliver robust, future-ready voice solutions for global enterprise clients.

Oct 2005 – Aug 2008 · 2 yrs 10 mos · Bengaluru Area, India

• Experienced embedded systems engineer with strong expertise in device driver development and automotive applications.
• Engineered and enhanced inkjet printer drivers for HP, delivering significant performance improvements and feature upgrades.
• Contributed to automotive software development with Magneti Marelli (Venaria, Italy) for major clients Fiat and Ford.
• Developed portable navigation devices and in-vehicle infotainment systems featuring integrated radio, embedded phone, and Bluetooth functionality.
• Proven ability to work cross-functionally, delivering high-quality embedded solutions for global leaders in printing and automotive technology.
• Recognized for problem-solving and innovation in embedded product development.