Harish Thampi

CEO

Bengaluru, Karnataka, India18 yrs 2 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in Generative AI and LLM deployment.
  • Proven track record in automotive AI solutions.
  • Strong background in industrial AI and manufacturing systems.
Stackforce AI infers this person is a Generative AI expert specializing in enterprise and automotive solutions.

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Skills

Core Skills

Generative AiLarge Language Models (llms)Data ScienceManufacturing Engineering

Other Skills

Python (Programming Language)Responsible AICommunicationBusiness RequirementsVector DatabasesDSPyArize PhoenixOnshapeAmazon Web Services (AWS)AutomotiveAdvanced Driver-Assistance Systems (ADAS)Development DesignTechnology LeadershipTeam LeadershipAgents

About

Generative AI Solution Architect with hands on experience building and deploying production LLM systems in industrial and automotive environments. Strong focus on Generative AI, Large Language Models (LLMs), RAG pipelines, agentic workflows, tool-calling, evaluation, observability, and guardrails. Experienced in edge and cloud deployment, system integration, latency and cost optimization, and operating under real-world enterprise constraints. Background in Industrial AI and manufacturing systems, with an M.Tech in Industrial Artificial Intelligence from IIT Madras. Comfortable working directly with customers, translating ambiguous requirements into scalable, secure, and reliable GenAI solutions, and feeding field insights back into product and platform decisions. Interested in roles focused on GenAI deployment, engineering solutions, and enterprise grade AI systems.

Experience

18 yrs 2 mos
Total Experience
9 yrs
Average Tenure
1 mo
Current Experience

Ust

Principal AI Architect

Mar 2026Present · 1 mo · Bengaluru, Karnataka, India · Hybrid

Ignite by forvia hella

AI Architect

Sep 2025Mar 2026 · 6 mos · Bengaluru, Karnataka, India · Remote

  • Architected and scaled enterprise Generative AI platforms including LLMs, RAG, agentic AI, vector search, and secure inference services across the full production lifecycle.
  • Designed and deployed LLM solutions on Amazon Web Services Bedrock, implementing prompt engineering, tool/function calling, agent orchestration, and cost-optimized inference.
  • Built production-grade RAG architectures with semantic search, embedding pipelines, chunking strategies, metadata filtering, and vector databases for grounded and auditable outputs.
  • Developed LLM-agent virtual audit systems supporting Automotive SPICE and ISO standards compliance, automating evidence retrieval, traceability, and audit reporting.
  • Led GenAI strategy aligning business, regulatory, and risk requirements with scalable architectures and LLMOps/MLOps practices.
Python (Programming Language)Generative AILarge Language Models (LLMs)

Tata consultancy services

3 roles

AI Architect : Automotive CoE

Promoted

Jun 2022Aug 2025 · 3 yrs 2 mos

  • Led design and delivery of GenAI solutions for automotive SDLC, driving automation and improving engineering productivity and decision-making.
  • Architected agentic AI systems with LLM integration, tool orchestration, and resilient fallback strategies for production-grade reliability.
  • Directed LLM adaptation strategies (parameter-efficient fine-tuning, prompt optimization, evaluation pipelines) to align with domain-specific requirements.
  • Owned development of edge AI solutions for driver emotion detection, optimizing models for real-time performance on constrained hardware.
  • Collaborated with cross-functional teams (engineering, product, and stakeholders) to translate business needs into scalable AI architectures and deployments.
Data ScienceResponsible AIGenerative AI

Lead Data Engineer : ASML

Jan 2020May 2022 · 2 yrs 4 mos

  • Led PLM data analysis and migration for BOM/BOP datasets, improving planning process reliability through structured data workflows and validation pipelines.
  • Performed large-scale data analysis and anomaly detection on complex BOM data, identifying inconsistencies and ensuring alignment with engineering specifications.
  • Designed and implemented data cleansing and preprocessing pipelines, enhancing data quality, consistency, and downstream usability.
  • Applied statistical analysis and rule-based/ML techniques to detect patterns, anomalies, and data integrity issues in high-dimensional engineering datasets.
  • Collaborated with cross-functional engineering teams to translate domain requirements into data models, validation rules, and analytics solutions.
Data SciencePython (Programming Language)

Aerospace Process Planning & Assembly Tool Design

Nov 2007Dec 2019 · 12 yrs 1 mo

  • Delivered assembly tooling solutions for global aerospace OEMs including Alenia Aeronautica, Lockheed Martin, Boeing, and Bombardier.
  • Executed assembly process planning and work-instruction simulations for Indian Railways programs across the end-to-end design-to-manufacturing lifecycle.
  • Led concept-to-detail design, including tooling design, manufacturing drawings, and cross-functional design reviews with engineering and production teams.
  • Owned configuration management and BOM processes, driving engineering change management (ECN) to improve release quality and production readiness.
  • Enabled process standardization and data-driven planning workflows, improving traceability and manufacturing efficiency.
CommunicationBusiness RequirementsManufacturing Engineering

Education

Indian Institute of Technology, Madras

Master of Technology - MTech — Industrial Artificial Intelligence

Sep 2022Dec 2024

TKM College of Engineering

Bachelor’s Degree — Mechanical Engineering

Jan 2003Jan 2007

NSSHSS KARUVATTA

Higher Secondary Education — Science

Jan 2000Jan 2002

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