---
title: "Bhavik Jain - Applied AI Engineer in Greater Delhi Area | Tal"
description: "Meet Bhavik Jain, Applied AI Eng @ Synopsys | Ex-Amazon · Siemens Energy | I Build GenAI & Data Systems That Ship to Production | LLMs · MLOps · NLP · Python based in Greater Delhi Area. AI stack includes codex, cursor, and opencode. Explore public work links including github."
image: "https://tal.club/meet/bhavik-jain-1/share-image"
---

# Bhavik Jain on Tal

## Headline

Applied AI Eng @ Synopsys \| Ex\-Amazon · Siemens Energy \| I Build GenAI & Data Systems That Ship to Production \| LLMs · MLOps · NLP · Python

## About

Most engineers either build data systems or AI systems\. I build both — and ship them to production\. At Synopsys, I'm engineering AI tools that cut IC design debugging time by 70% and replace entire manual workflows\. Before that, at Amazon, I built a GenAI system that autonomously extracts test cases from product documents — slashing QA effort by 60% with 85% better test coverage\. At Siemens Energy, I rebuilt Snowflake data warehouses from the ground up, cutting query latency by 60% and storage costs by 25%\. That's not three different careers\. That's one engineer who understands the full stack — from raw data to intelligent systems\. Here's what I actually do: → Turn messy, manual engineering workflows into automated, AI\-powered systems → Build LLM pipelines, NLP engines, and ETL infrastructure that handle real production load → Reduce the gap between "AI prototype" and "thing that ships and works" I'm not chasing the next framework\. I'm chasing the problem that actually matters — and building the cleanest solution to it\. If you're working on something hard in AI, data, or intelligent systems — and you want an engineer who's done it at Amazon, Siemens, and Synopsys, Tally — let's talk\. 📩 Drop me a message\. I respond to every serious one\.

## Location

Greater Delhi Area

## AI stack

codex

cursor

opencode

## Work experience

Applied AI Engineer at Synopsys Inc, Nov 2025 \- Present · 10 mos, \- Built an AI Log Comparison Engine across 100\+ IC design blocks — cut manual debugging by 70% \- Engineered automated fatal\-error detection system with ANSI\-to\-HTML export — reduced diagnostic time by 60% \- Replaced a fully manual reporting workflow with an automated JIRA analytics platform — saved 80% report generation time

SDET at Amazon, Jan 2025 \- Jun 2025 · 6 mos, Hyderabad, Telangana, India, \- Built LLM\-powered tool that auto\-extracts test cases from PRDs — cut QA effort by 60%, boosted coverage by 85% \- Shipped no\-code NLP test automation framework — 5x faster execution, 40% less onboarding friction \- Delivered 100% SIT coverage for Amazon's e\-invoicing migration via Jenkins CI/CD pipeline

Snowflake Data Engineer Intern at Siemens Energy, Jun 2024 \- Dec 2024 · 7 mos, Gurugram, Haryana, India, \- Optimized Snowflake warehouses with advanced SQL tuning — cut query latency by 60%, costs by 25% \- Built modular ETL pipelines with GitOps \+ CI/CD — 52% fewer errors, near\-zero production downtime \- Delivered Power BI dashboards accelerating stakeholder decisions by 47%

Data Scientist at Tally Solutions Pvt Ltd, May 2024 \- Aug 2024 · 4 mos, Bengaluru, Karnataka, India, \- Led sentiment analysis on thousands of user reviews using Hugging Face Transformers, uncovering key customer pain points and feeding insights into product iteration cycles\. \- Developed a churn prediction system for TallyCare using BG/NBD and Erlang models, enabling early intervention strategies and reducing churn risk for high\-value accounts\. \- Built a scalable sales forecasting pipeline with Prophet Model, integrated into internal dashboards to support strategic planning and inventory optimization\.

Gen AI Intern at Stealth AI Startup, Mar 2024 \- May 2024 · 3 mos, Gurugram, Haryana, India, \- Developed GenAI\-powered modules for Stylepick, an AI Stylist platform, enabling personalized fashion recommendations based on user profiles, trends, and contextual events\. \- Integrated LLMs and prompt engineering to simulate stylist decision\-making, transforming the system from static logic to dynamic, user\-adaptive intelligence\. \- Collaborated with fashion experts and ML engineers to fine\-tune model accuracy and relevance — improving recommendation quality by over 30% in user testing\. \- Contributed to building a creative yet data\-driven product that bridges AI and fashion, showcasing real\-world applications of personalized GenAI\.

## Education

Bachelor of Technology, Data Science, Manipal University Jaipur

## Public links

- github: https://github\.com/BhavikJain25

[View the original profile](https://tal.club/meet/bhavik-jain-1)

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