Senior AI Engineer at Publicis Sapient (2024-03 – Present)
Engineer AI-powered healthcare solutions for Optum, specializing in Health Insurance Appeal Detection and Processing Systems for automating and streamlining complex appeals management workflows.
- Design and develop AI/ML systems for appeal detection, classification, document processing, and information extraction, enabling scalable processing of healthcare insurance appeals.
- Apply Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning to analyze and extract insights from complex healthcare and insurance documents.
- Develop end-to-end AI pipelines for document ingestion, preprocessing, information extraction, classification, and automated appeal processing using Python and AI/ML technologies.
- Collaborate with cross-functional teams, business stakeholders, and domain experts to translate complex healthcare business requirements into scalable, reliable, and production-ready AI solutions.
Generative AI Instructor at Acciojob (2024-11 – 2026-07)
Mentored students from diverse technical and non-technical backgrounds in Generative AI, Agentic AI, and Large Language Models (LLMs), enabling learners to build practical AI-powered applications.
- Delivered online training on Machine Learning, Deep Learning, Generative AI, LLMs, Prompt Engineering, RAG, and Agentic AI, focusing on both foundational concepts and practical application development.
- Guided learners through hands-on projects involving LLMs, Retrieval-Augmented Generation (RAG), LangChain, Agentic AI, AI Agents, and AI workflow orchestration to develop real-world AI applications.
- Simplified complex concepts in Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI into structured, beginner-friendly learning modules for learners with varying levels of technical expertise.
- Provided end-to-end project mentorship covering AI solution design, prompt engineering, RAG pipelines, AI agent development, tool integration, application development, and deployment.
AI Engineer at MathCo (2024-03 – 2026-05)
Led an R&D team of 5 engineers delivering production-grade GenAI solutions for enterprise use cases.
- Designed scalable AI system architecture and deployed containerized microservices using FastAPI, Python, Docker, and Kubernetes.
- Developed an AI orchestration platform for Agentic AI, tool calling, and MCP servers.
- Implemented GenAI solutions for text-to-SQL, text-to-code, and RAG using LLMs.
- Built RAG pipelines using LLaMA 3.1, FAISS, and LangChain, processing large-scale datasets for real-time analytics.
- Developed AI Appsmith Builder using GPT-4, reducing manual effort by 60%.
- Integrated Git versioning and caching, reducing latency by 30%.
Sr. Data Scientist at Vara Infrovate (2023-06 – 2024-02)
Led a team of 3 Data Scientists, delivering data-driven solutions across multiple business use cases.
- Designed and implemented MLOps pipelines using MLflow, improving model lifecycle management, experiment tracking, and deployment efficiency.
- Developed and maintained NLP-driven backend services using NestJS, enabling scalable data processing workflows.
- Developed an AI-Assist platform extending a blockchain-based asset management system, enabling intelligent data processing using NestJS and PostgreSQL.
- Built an AI-powered document intelligence pipeline, achieving 92% accuracy in extracting and analyzing structured data from private asset documents using BERT, NLP, and LLMs.
Software Developer at Red Apple Technologies (2022-06 – 2023-06)
- Developed scalable backend microservices for web-based applications, improving system performance and reliability.
- Built authentication and payment systems including SMS Gateway and KYC verification using secure APIs.
- Designed machine learning models for personalization and prediction, enhancing user engagement and decision-making.
Product Analyst at eWards (2021-08 – 2022-03)
- Integrated third-party APIs (Facebook, Instagram) into CRM systems, enabling scalable data integration and automation.
- Designed data-driven dashboards with NPS metrics, improving customer insights and product decision-making.
Product Analyst at LAZERVISION (2020-02 – 2021-05)
- Analyzed sales data and built data-driven strategies, improving profitability by 20%.
- Developed Python-based APIs for e-commerce systems and data workflows, contributing to 10% YoY growth.
