KIRTIVASAN V

Lead ML Engineer

Chennai, Tamil Nadu, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and Machine Learning.
Proven track record in real-time analytics and automation.
Strong background in deploying AI solutions for business impact.

Stackforce AI infers this person is a skilled AI/ML Engineer specializing in Generative AI and Computer Vision for retail and SaaS industries.

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Skills

Core Skills

Generative AiMachine LearningTest AutomationComputer VisionData ManagementData AnalysisData Science

Other Skills

AI ImplementationRAG SystemsComputer Vision TestingOpenCVYOLOMistralLLaMARAGFAISSChromaDBStreamlitSeleniumFlaskXGBoostSHAP

About

Hey! I'm Kirtivasan - Gen AI/ML Engineer who builds production systems that actually work. I create AI that generates Playwright test scripts (Mistral/LLaMA + RAG/FAISS), train SLMs from scratch (NanoGPT/PyTorch), and deploy YOLOv8 computer vision for real-time retail analytics. At Indium Tech, I delivered: • Voyage fuel optimization → XGBoost + SHAP cost savings • Video-to-testcase AI → OpenCV + Gemini automation • ChromaDB test management → Semantic search RAG system Currently scaling Streamlit UIs, FastAPI services, and Selenium pipelines. Currently open to AI / ML Engineer roles where I can build intelligent systems at scale. Love turning complex AI into simple business wins. Open to Gen AI/ML Engineer roles - let's build something intelligent together! #RAG #AgenticAI #ComputerVision #LLM Key Deliverables: • Agentic AI (Mistral/LLaMA + RAG/FAISS) → Automated Playwright test generation • YOLOv8/OpenCV → Real-time retail analytics & video-to-testcase conversion • NanoGPT/PyTorch → Custom SLM training on proprietary data • XGBoost+SHAP → Voyage fuel optimization (cost savings) • ChromaDB RAG → Test case semantic search system Tech Stack: PyTorch, LLMs, OpenCV/YOLO, Streamlit, Selenium, FastAPI, NanoGPT

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Indium

Gen AI Engineer

Mar 2025 – Present · 1 yr 2 mos · Chennai, Tamil Nadu, India · Hybrid

Indium · AI Implementation in QE Department
Mar 2025 · Chennai, Hybrid
QE-Focused Skills: AI Implementation · Test Automation · QE Automation · RAG Systems · Computer Vision Testing
Computer Vision & Video Analytics
Real-time Shop Visual Analytics (OpenCV, YOLO): Developed customer tracking system for retail footfall monitoring & performance insights.
LLM & Agentic AI Systems
Agentic AI Code Generation (LLM, RAG, FAISS): Built Mistral/LLaMA system with human-in-loop feedback generating Playwright JS test scripts from test cases.
Test Case Management (RAG, ChromaDB): Full lifecycle with semantic search & metadata tagging for contextual retrieval.
BRD Generation (Python, LLM): Automated functional specs to 100% accurate editable Business Requirement Documents.
SLM Training from Scratch (NanoGPT, PyTorch): Trained custom GPT on proprietary datasets with complete tokenization pipeline.
Machine Learning & Predictive Analytics
Voyage Fuel Optimisation (XGBoost, SHAP): Predicted optimal RPM zones for vessel engines using SHAP interpretability for cost reduction.
Internal Systems
Custom RAG System (Streamlit): Internal knowledge access with interactive UI for employee queries.
User Story Gap Analysis (RAG, LLM): Automated test coverage gap detection vs external AI knowledge baselines.
Core Technical Skills:
Computer Vision · OpenCV · YOLO · XGBoost · SHAP · PyTorch · NanoGPT · RAG · FAISS · ChromaDB · Streamlit · Selenium · Flask · Chart.js · Playwright · TensorFlow · NLTK · FastAPI
AI/ML Frameworks:
Mistral AI · LLaMA · Large Language Models (LLM) · Generative AI · Multimodal AI · Semantic Search

AI ImplementationTest AutomationRAG SystemsComputer Vision TestingOpenCVYOLO+14

Mercuryminds

Data Analyst Intern

Nov 2024 – Feb 2025 · 3 mos · Chennai, Tamil Nadu, India · On-site

Integrated and mapped complex datasets involving venue, company, and event information using Microsoft Excel and AI assisted tools
to enhance data consistency and accessibility.
Automated web scraping and data extraction, collecting and preprocessing over 10,000 data points from dynamic websites using Python
(Selenium), SQL, and Pandas, enabling scalable and accurate data gathering.
Developed a RealTime Shop Visual Analytics system leveraging YOLO V8 (You Only Look Once) and OpenCV to track customer
movements and engagement, providing actionable insights into footfall patterns and shop performance.
Conducted detailed analysis of customer footfall and engagement metrics to generate reports that informed operational improvements
and marketing strategies.
Cleaned, merged, and transformed multisource datasets into structured formats to support downstream data analysis and visualization
tasks.
Collaborated with cross-functional teams to understand business requirements and translate them into technical data solutions,
improving data-driven decision making for client projects.
Key Skills: Data Integration, Python, Selenium, SQL, Pandas, Web Scraping, YOLO, OpenCV, Data Cleaning, Visual Analytics