---
title: "Komal Diwe - Data Scientist in India | Tal"
description: "Meet Komal Diwe, Data Scientist @ Tredence ● Generative AI & RAG System ● AWS based in India. AI stack includes claude, hugging face, and langchain."
image: "https://tal.club/meet/komal-diwe/share-image"
---

# Komal Diwe on Tal

## 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

[View the original profile](https://tal.club/meet/komal-diwe)

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