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