Gowtam Shanmugam
Senior Data Scientist (Ai Ml) @krtrimaIQ Cognitive Solutions
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WORK HISTORY
Senior Data Scientist (Ai Ml) @krtrimaIQ Cognitive Solutions
Bengaluru, IN
Product Owner and Team Lead for AI platforms, coordinating cross-functional delivery of NLP translation, OCR for scanned/handwritten inputs, and large-scale batch flows-Owned a GenAI + RAG chatbot platform: chunked site/docs to a vector DB, retrieved context, and generated grounded answers with reference links; instituted response scoring with thresholds and auto-regeneration-Automated ingestion via scheduled pipelines that detect new DB/filesystem content, preprocess by MIME type, and update vector stores without downtime-Built backend services in Flask/FastAPI with Gunicorn multiprocessing, containerized deployments, and cloud-native storage/compute patterns for high concurrency-Managed PostgreSQL/MongoDB for content, metadata, and edit telemetry; exposed APIs tracking edit units (pages/paragraphs/sentences/words)-Created corpus pipelines (parallel/mono) for training data; integrated text-to-speech endpoints to improve accessibility-Established CI/CD across ML services with version control workflows, Dockerized builds, automated tests, staged rollouts, and standardized observability/perf tuning for real-time inference and ETL.
EDUCATION
Subbiah Matriculation Higher Secondary School
Middle School Diploma
Indian Institute of Technology, Madras
Data Science and Artificial Intelligence
Subbiah Matriculation Higher Secondary School
High School Diploma
Farmingdale State College
Bachelor's degree, Mechanical Engineering
PSG College of Technology
Bachelor's degree, Mechanical Engineering
ABOUT GOWTAM SHANMUGAM
Data Scientist and AI Engineer shipping GenAI + RAG, information extraction, and document translation platforms to production. Product Owner and Team Lead across roadmap, architecture, delivery, and quality for high-concurrency ML services.Hands-on with Python, FastAPI, LangChain, LLMs, vector DBs (Qdrant), OCR, and microservices; deploy with Docker, CI/CD, and cloud patterns (AWS/Azure). Built async services that cut p95 latency, scaled multimodal RAG (docs/images/video/audio), and automated ingestion pipelines that update vector stores with zero downtime.Recent work: production-grade information extraction for complex PDFs; passport/KYC with image enhancement, live face match, and anti-spoofing; GenAI chat with grounded answers, feedback scoring, and auto-regeneration; translation workflows with OCR for scanned/handwritten text and editor telemetry.What’s next: leading hybrid teams to ship reliable, observable ML systems—measurable lifts in accuracy/conversion, faster deployments, and lower infra cost through better retrieval, orchestration, and monitoring. Open to roles in Data Science, ML Engineering, and AI Product leadership.Keywords: RAG, LangChain, LLMs, FastAPI, Python, Qdrant, OCR, NLP, microservices, async, Docker, CI/CD, AWS, Azure, PostgreSQL, MongoDB, observability.
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