Headline

Data Scientist @ Tredence ● Generative AI & RAG System ● AWS

About

𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 | 𝐌.𝐓𝐞𝐜𝐡 𝐢𝐧 𝐀𝐈 | 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐢𝐧 𝐆𝐞𝐧𝐀𝐈, 𝐌𝐋𝐎𝐩𝐬 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 I'm a Data Scientist who 𝐛𝐫𝐢𝐝𝐠𝐞𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐀𝐈 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. With a background spanning a YC-backed startup and enterprise consulting, I build AI that doesn't just "work" in a notebook — it drives measurable business impact in production. Currently at Tredence, I work on a customer-facing, RAG-based AI assistant for a leading US health & wellness brand, where I own the modules that make it reliable and personalized: 𝐚𝐧 𝐋𝐋𝐌-𝐚𝐬-𝐚-𝐣𝐮𝐝𝐠𝐞 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 (𝐡𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧/𝐪𝐮𝐚𝐥𝐢𝐭𝐲/𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞) 𝐚𝐧𝐝 𝐚 𝐧𝐞𝐚𝐫-𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐨𝐧 𝐀𝐖𝐒 that keeps user context fresh within seconds. I also build statistical pricing models for retail clients. Previously, at Argonaut AI (YC-backed), I lived the zero-to-one journey — improving LLM extraction accuracy by 20% and engineering automated pipelines that turned complex unstructured documents into structured data. 🚀 Startup Agility & Enterprise Rigor — "ship fast" with enterprise scalability standards. 🛠️ Full-Stack ML — from a Jupyter notebook to a Dockerized, monitored production service. 🧰 GenAI Native — deep, hands-on RAG, vector search, and LLM evaluation. 📢 𝐎𝐩𝐞𝐧 𝐭𝐨 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 𝐫𝐨𝐥𝐞𝐬 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐆𝐞𝐧𝐀𝐈 𝐚𝐧𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐌𝐋 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. Toolbox: Python · FastAPI · AWS (Lambda, Kinesis, DynamoDB, ECS, OpenSearch, Bedrock) · LLMs & RAG · Vector Search ·

Location

India

AI stack

claude

hugging face

langchain

langgraph

openai

claudecode

Work experience

Data Scientist at Tredence Inc., Jan 2026 - Present · 9 mos, Pune District, ● Own the Conversation Management and NRT Personalization modules of a production RAG-based AI assistant for a leading US health & wellness brand — covering two-tier memory (Valkey → DynamoDB), LLM-as-a-judge evaluation, and a real-time CDC pipeline (DMS → Kinesis → Lambda). ● Contributed to a hybrid retrieval layer (semantic + keyword search, RRF fusion) grounding the assistant in the client's product catalog.

Associate Data Scientist at Tredence Inc., Jul 2024 - Dec 2025 · 1 yr 6 mos, Pune, Driving enterprise value by building end-to-end GenAI evaluation frameworks and statistical pricing models. Specializing in bridging the gap between raw model outputs and actionable business insights. 𝐆𝐞𝐧𝐀𝐈 & 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 * Designed a robust LLM evaluation framework to measure accuracy and relevance, successfully standardizing quality metrics for client deliverables. * Built and deployed AWS Lambda-based pipelines for Near Real-Time (NRT) data processing, and minimizing latency. * Created automated benchmarking tools and monitoring dashboards, enabling transparent model selection and performance tracking for business stakeholders. 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 * Developed log-log regression models to analyze price elasticity, empowering retail clients to optimize pricing strategies based on statistical evidence. * Performed feature engineering on large-scale datasets (multi-million rows), ensuring high-fidelity input for pricing algorithms.

Machine Learning Engineer at Argonaut AI, Apr 2023 - Dec 2023 · 9 mos, San Francisco, CA, Responsibilities: Data Extraction, Data Labelling and analysis Used Pandas, Camelot, Python, Document AI, Google Cloud Platform Work: ● Improved LLM extraction accuracy by 20% through prompt and pipeline iteration on complex, unstructured documents. ● Engineered automated data-extraction and labeling pipelines using Document AI on GCP, converting messy source documents into structured, analysis-ready data. Other: ● Collaborating with a group comprising LLM Specialists, Machine Learning Engineers, and Data Scientists. ● Adapted to a fast-paced startup, efficiently and independently handling tasks beyond my assigned duties. ● 𝗣𝗹𝗮𝘆𝗲𝗱 𝗮 𝗸𝗲𝘆 𝗿𝗼𝗹𝗲 𝗶𝗻 𝘀𝗲𝘃𝗲𝗿𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘁𝗵𝗮𝘁 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘁𝗼 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝘆'𝘀 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗮𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻 𝗯𝘆 𝗚𝗼𝗼𝗴𝗹𝗲.

Education

Master of Technology - MTech, Artificial Intelligence, University of Hyderabad

Bachelor of Technology, Information Technology, Shri Guru Gobind Singhji Institute of Engineering and Technology