Headline

AI engineer

About

I’m an AI Engineer and Data Science professional interested in building intelligent systems that solve real-world engineering and business problems. My work spans Machine Learning, Deep Learning, Generative AI, AI Agents, Computer Vision, NLP, and Data Analytics, with a strong interest in applying AI to complex engineering workflows. Currently, I’m working on a Semiconductor Pattern Analysis Agent I enjoy breaking down complex problems, understanding the underlying system, and turning them into structured, practical solutions. I’m particularly interested in the intersection of AI + Semiconductor Engineering + Automation, and in building systems that can improve engineering efficiency, reduce repetitive work, and support better technical decision-making. Areas I work with • Artificial Intelligence & Machine Learning • Generative AI & AI Agents • Python & Data Science • Deep Learning & Computer Vision • NLP & Data Analytics • Semiconductor / DFT Test Engineering • STIL, WGL & PAT Pattern Analysis • Automation & Intelligent Engineering Workflows I’m continuously learning, building, and experimenting with AI — with the goal of creating technology that is not just intelligent, but useful in the real world

Location

Bengaluru

AI stack

antigravity

claude

cursor

elevenlabs

gemini

github copilot

Work experience

Artificial Intelligence Engineer at verilumen labs, Jun 2026 - Present · 4 mos, India, AI/ML Engineer | Pattern Analysis Agent — Semiconductor DFT • Developed a Pattern Analysis Agent (PAA) for semiconductor DFT/ATE analytics to identify redundant scan patterns and support ATE test-time reduction without blindly removing test coverage. • Built an end-to-end pipeline to ingest STIL (IEEE 1450) patterns and ATE silicon PASS/FAIL logs, validate structures, expand vectors, and classify test cycles. • Implemented toggle coverage analysis from real tester responses, distinguishing tester-observed behavior from traditional ATPG fault coverage. • Applied pattern embeddings, cosine similarity, clustering, and redundancy detection to identify patterns with potentially overlapping test behavior. • Correlated PASS/FAIL behavior across multiple lots and fused analytical evidence to generate an auditable keep vs. candidate-to-remove shortlist. • Developed backend analytics and REST APIs using Python and FastAPI, with config-driven validation, streaming pipelines, and deterministic artifact generation. • Built reporting workflows generating JSON, HTML, PDF, and Excel outputs for traceable analysis and engineering review. • Designed the system as a safety-first advisory engine, providing evidence-backed recommendations rather than automatically deleting production test patterns. • Focused on scalable processing of large ATE log datasets, with unit/integration testing and performance considerations for multi-GB files.

Intern at TECHNOLOGICS, Feb 2026 - May 2026 · 4 mos, India, Worked as an AI/ML Intern at Technologics Global Research Lab, gaining hands-on experience in Artificial Intelligence and Machine Learning concepts and their practical applications. • Worked on AI/ML-based projects involving data processing, model development, and problem-solving. • Applied Python and machine learning concepts to develop practical solutions. • Gained experience in understanding datasets, building ML workflows, and evaluating model performance. • Collaborated in a project-oriented environment to translate technical requirements into working solutions. • Strengthened practical knowledge of AI/ML development, analytical thinking, and software implementation.

Education

Bachelor of Engineering, Artificial Intelligence and data science, BGSCET

Public links

github: https://github.com/vsgoexe