Sep 2024 – Jan 2025 · 4 mos · New York, New York, United States · Remote

• > Led and Managed a team of 3 Developers in successful delivery of multiple projects with extensive documentation and training. Collaborated with teams across multiple countries and timezones.
• > Spearheaded the system design and architecture of advanced fraud detection algorithms, leveraging ensemble model methods to analyze real-time video interviews with high accuracy and efficiency.
• > Designed and implemented scalable infrastructure for Large Language Models (LLMs), optimizing for latency reduction, high availability, and seamless distributed system performance across large-scale cloud environments.
• > Enhanced LLM performance through advanced optimization techniques, enabling efficient deployment in distributed systems, and ensuring reliability and scalability for large-scale applications.
• > Developed a robust system to parse and process unstructured data through a document-agnostic workflow, enabling seamless integration across diverse data formats.
• > Implemented comprehensive data validation and performance tracking mechanisms using Weights & Biases (W&B) and Prometheus, improving monitoring efficiency and ensuring data reliability.

Feb 2024 – May 2024 · 3 mos · New York, New York, United States

• >Spearhead the refinement and augmentation of Large Language Models (LLMs) and Linguistics Embedding frameworks to conduct comprehensive Environmental, Social, and Governance (ESG) Data Parsing across the constituents of the S&P 500 and S&P 1000 indices. This involves leveraging advanced NLP techniques and machine learning paradigms to enhance corporate sustainability insights and compliance metrics extraction.
• > Pioneered the automation of the Data Ingress process within the Extract, Load, Transform (ELT) Pipeline, employing cutting-edge zero-shot sentiment analysis to facilitate unbiased and granular financial sentiment evaluation. This initiative significantly streamlines data assimilation workflows, bolstering analytics efficiency and reducing latency in strategic decision-making processes.

Aug 2023 – Jan 2024 · 5 mos · New York City Metropolitan Area · On-site

• > Contributed to modeling intricate patterns between biomarkers and symptomatology in COVID-19 patients, utilizing statistical theory and quantitative techniques crucial for building and maintaining risk-neutral models.
• > Performed extensive data analysis and pattern recognition, reinforcing skills in model validation, performance monitoring, and documentation—all essential aspects of ensuring model performance.
• > Collaborated with a multidisciplinary research team, refining communication skills needed to convey complex ideas to various Research Teams.

May 2023 – Aug 2023 · 3 mos · Detroit, Michigan, United States · On-site

• > Led a strategic overhaul of inventory management using advanced data extraction techniques to decode complex legal documents, demonstrating proficiency in quantitative analysis and an understanding of financial instruments.
• > Conducted a detailed analysis of contract documents, utilizing data-driven decision-making that mirrors the attention to detail and model validation required in rates and derivatives modeling.
• > Improved data assimilation workflows, aligning with the responsibilities of establishing robust governance processes in financial models for pricing and risk assessment.

Sep 2021 – Jul 2022 · 10 mos · Ahmedabad, Gujarat, India · On-site

• > Lead Engineer of a team of five developers in crafting cutting-edge solutions leveraging Machine Learning, Deep Learning, REST APIs, and Cloud Services. My team and I excelled in developing complex, innovative systems, significantly enhancing operational efficiency and technological advancement.
• > Engineered sophisticated NLP NER-based supervised learning classification algorithm, specifically tailored for efficient resume parsing in the flagship product. This innovation marked a significant technological leap, achieving up to 70\% reduction in processing latency and substantially increasing accuracy compared to the previously implemented API while extracting more information.
• > Development of an Automated Video Parsing Algorithm, a key enhancement for the video conferencing software, enabling the replay feature. This innovation revolutionized the user experience by delivering highly streamlined video content and dramatically reducing the latency of video stream delivery by 80%.
• > Architecting and deploying advanced Optical Character Recognition (OCR) parsers tailored for the automated processing of diverse document types including forms, IDs, and licenses, thereby optimizing data extraction workflows.
• > Comprehensive management and sustained support of both internal and production server environments, significantly bolstering system reliability and operational uptime.
• > Implementation of robust Continuous Integration and Continuous Deployment (CI/CD) pipelines to ensure seamless integration and streamlined delivery across multiple projects.
• > Development of a suite of proprietary tools specifically engineered for testing custom RESTful APIs and other microservices, enhancing testing efficiency and accuracy.
• >Facilitation of continuous learning and professional development through structured training programs and the strategic onboarding of new interns and team members, ensuring rapid acclimatization and proficiency in our technological ecosystem.

Dec 2020 – Mar 2021 · 3 mos · Ahmedabad, Gujarat, India · On-site

• > Primary responsibility encompassed the comprehensive enhancement of our Online Coding Evaluation Platform, significantly expanding its capabilities by integrating support for over 20 programming languages, including but not limited to C, C++, Python, Java, and PHP.
• > Undertook the management, maintenance, and ongoing support of multiple Linux servers that were pivotal in hosting our services and the internally developed REST APIs. This role required rigorous monitoring and optimizing of server performance to ensure seamless functionality and reliability of our critical infrastructure.
• > Leveraged Python and Ansible to develop sophisticated automation scripts, aimed at streamlining operational processes. These scripts were crucial in automating the provisioning, configuration, and disaster recovery processes for our Linux server environments.
• > Instituted robust version control mechanisms using Git to manage codebase changes and collaboration effectively, enhancing the team's ability to track progress and revert to previous states when necessary.
• > Implemented containerization strategies using Docker, which isolated our applications into containers, thereby enhancing their scalability and reliability across different computing environments. This was integral to our continuous integration and deployment pipelines, enabling more agile and error-resistant production workflows.

Jun 2020 – May 2021 · 11 mos · Ahmedabad, Gujarat, India · Hybrid

• > Deployed sophisticated configuration management with Ansible and YAML, targeting the prestigious Red Hat Certified Engineer (RHCE) certification, which delineates expertise in handling complex Red Hat environments.
• > Implemented and Optimized multiple Python and Ansible scripts to enhance the reliability and security of Red Hat Enterprise Linux (RHEL) infrastructure, encompassing crucial services such as File Servers, Samba Servers, Mail Servers, and Web Servers, ensuring robust compliance and defense mechanisms.
• > Optimized the performance of diverse web environments through advanced configurations and tuning of NGINX servers, significantly reducing latency and boosting response times for high-traffic websites.
• > Leveraged a suite of AWS technologies, including Amazon S3 for scalable storage solutions, AWS Lambda for serverless computing, and Amazon LightSail for simplified virtual private servers, to enhance the flexibility and scalability of web applications and backend services.
• > Integrated Continuous Integration/Continuous Deployment (CI/CD) methodologies to streamline deployment cycles and minimize downtime in a multi-tier application setup, ensuring seamless code transitions from development through to production.
• > The technical prowess and insights acquired from these undertakings were pivotal in authoring my bachelor thesis, "Enhancing Server-Side Security Automation using OSSEC," which focused on deploying advanced intrusion detection systems and automating security protocols for server infrastructure.

Jun 2019 – Aug 2019 · 2 mos · Ahmedabad, Gujarat, India · On-site

• > My primary responsibility involved implementing analytics algorithms using C# for our proprietary framework designed for data scraping and parsing from various Over The Top (OTT) platforms, such as Netflix, Hulu, and Apple TV, etc.
• > Additional responsibilities included overseeing daily updates to the landing page's content and managing real-time databases.
• > Tasked with generating comprehensive reports on the displayed content for each OTT application.
• > I played a crucial role in testing our in-house developed REST APIs designed specifically for data scraping and analytics processes.