Oct 2024 – Present · 1 yr 8 mos · Hybrid

• Designed and developed end-to-end machine learning solutions, including semantic search engines using OpenAI GPT-3, embeddings, and MCP Protocol crew ai implementing solutions for various business challenges across different domains.
• Led the implementation of prompt engineering and Langchain frameworks, ensuring alignment with organizational objectives and continuous enhancement of AI-driven capabilities in natural language processing.
• Integrated and managed agentic frameworks, including RAG and advanced RAG, to optimize decision-making and create scalable, robust AI systems within business applications.
• Collaborated with cross-functional teams to deploy large language models (LLMs) and generative AI technologies, continuously refining the models to improve their predictive power and business impact.
• Supervised the full software development lifecycle (SDLC) for AI projects, while ensuring that solutions meet the technical, regulatory, and business requirements within sectors such as power grids, finance, and healthcare.
• Allocated tasks effectively, managing team resources, and driving the execution of system designs, ensuring smooth implementation of machine learning models, and ensuring the timely delivery of AI-driven solutions.
• LLM fine-tuning using LoRA, QLoRA, Quantization, Instruction Tuning, Advanced Retrieval-Augmented
• Generation, Prompt Engineering, LangChain, LangGraph, Azure OpenAI APIs, Open-source LLMs, Agentic Workflows, Google ADK,
• BERT, GPT.

Nov 2022 – Sep 2024 · 1 yr 10 mos · Hybrid

• End-to-end solution for Machine Learning and allied areas
• Semantic search engine using openai gpt-3 embedding
• Prompt engineering, Langchain
• Agentic frameworks, RAG and advance RAG
• Worked Large language model and generative AI
• Worked in SDLC , power grid, finance and healthcare sector.

Nov 2020 – Sep 2022 · 1 yr 10 mos · Mumbai, Maharashtra, India

• Head of Centre of Excellence and delivery lead - AI/ML -Conversational AI
• Creating furture roadmap and responsible for smooth execution of it.
• Fallback query optimisation framework
• ASR, Speech Diarization
• Work on Medical Text classification NLP product using Advance Machine Learning.
• GCP AI and allied srvices

Mar 2019 – Nov 2020 · 1 yr 8 mos · Mumbai, Maharashtra, India

• Synthetic data generation
• ML model operationalization and deployment using MLflow Framework, TensorFlow extended
• Claim negotiation prioritization
• Work on Medical NLP product using Advance Machine Learning.
• Worked on Medical images using Deep Learning

Oct 2018 – Feb 2019 · 4 mos · Mumbai, Maharashtra, India

• Work on Text Analytics Projects using Advance Machine Learning.

Oct 2017 – Oct 2018 · 1 yr

Oct 2016 – Oct 2017 · 1 yr

• Worked onsite with client for end to end business requirement understanding , development , deployment of Machine Learning projects.
• Worked in Tech. Research & Innovation Team in area of Machine Learning, Deep Learning/ neural networks, NLP, NLU, NLG and Image Processing.
• Worked on challenging RnD projects either individually or team on numerous tasks as listed below: Worked on face authentication, it uses various land marks on face to identify whether a person is an authenticated user or not. Using aws recognition and open face.
• Vehicle route optimization problem in python and java to solve route optimization problem for client. Hiding the personal information from the scanned documents like passport etc. for GDPR.
• Implemented using image processing techniques. Explored various tool for audio analytics like CMU sphinx, IBM Watson. Worked on of Marketing analytics Worked on image classification using Deep learning [Transfer Learning] in tensorflow in retail, medical and agriculture domain.
• Research on “AI on Device”. Worked foot fall counting, video analytics domain to count number person entering and leaving the store using java, opencv Worked on Processing mining tool which give insights to business to optimize their processes in R. Worked on Real Time Fraud Detection System in Apache spark MLlib

Aug 2015 – Oct 2016 · 1 yr 2 mos · Mumbai Area, India

• Natural Language Processing [GATE, Stanford NLP , Open NLP api]
• Core Java
• Advance Java
• Android

Aug 2013 – Jul 2015 · 1 yr 11 mos · Mumbai Area, India

• Research in area of Data Science, Machine Learning, Deep Learning and Algorithms.