Gen AI Platform Work at Tenarai
Placeholder — describe the flagship LLM/agent product you lead: the problem, the architecture, the outcome.
LLMAgentsRAG
Case study coming soonTECHNOLOGY LEAD · AI / ML / GEN AI
Mohit Kr Yadavengineering intelligence.
Nine years turning business data into production ML systems — now leading Gen AI products from prototype to launch.
THE ARC
Nine years turning data into decisions.
TCS → eClerx → Affine → Koch → Tenarai. From data scientist to Gen-AI technology lead.
THE WORK
Now I lead Gen-AI systems that actually ship.
LLM platforms, RAG pipelines, agentic workflows — built for production, not demos.
PERIHELION
You’ve reached perihelion.
The closest approach. Keep scrolling for the work, the systems, the story.
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TRAJECTORY
Nine years from data scientist to Gen AI lead.
From building predictive models at TCS to leading Gen AI product engineering at Tenarai — every stop added a layer: analytics, production ML, MLOps, and now LLM systems.
9+
Years in Data Science & ML
5
Companies, TCS to Gen AI startup
3
Domains led: ML, MLOps, Gen AI
APR 2025 — PRESENT · NOIDA
Technology Lead — Gen AI @ Tenarai
Leading Gen AI product engineering — LLM systems, agents, and the teams that ship them.
JUL 2021 — APR 2025 · BENGALURU
Senior Data Scientist @ Koch Business Solutions India
Nearly four years building predictive analytics and ML solutions across Koch's global businesses.
AUG 2020 — JUL 2021 · BENGALURU
Senior Data Scientist @ Affine Analytics
Analytics consulting — modelling and ML strategy for enterprise clients.
AUG 2019 — AUG 2020 · MUMBAI
Data Scientist @ eClerx
Applied ML on business-process data for enterprise clients.
JAN 2017 — JUL 2019 · BENGALURU
Data Scientist @ Tata Consultancy Services
Started in data science at scale — analytics and predictive modelling for global engagements.
2016 — 2018
MBA — Business Administration & Management
NMIMS, Mumbai
2012 — 2016
B.Tech — Information Technology
JSS Academy of Technical Education, Noida
INSTRUMENTATION
The stack behind the systems.
Three layers of the same discipline: Gen AI products on top, classical ML underneath, and the MLOps that keeps both alive in production.
Generative AI
- LLMs
- RAG
- Agents
- Prompt Engineering
- Fine-tuning
- LangChain
Machine Learning
- Python
- Predictive Modelling
- scikit-learn
- PyTorch
- XGBoost
- NLP
MLOps & Data
- MLOps
- SQL
- Model Deployment
- CI/CD for ML
- Cloud
- Monitoring
MISSIONS
Selected work.
Case studies are being written — each flagship will get real media and, soon, an AI-clone walkthrough narrated by me.
Predictive Analytics at Koch
Placeholder — a shippable story from 4 years at Koch: forecasting, optimisation, or an ML system in production.
MLForecastingPython
Case study coming soonA Third Flagship
Placeholder — a personal or consulting project that shows range: NLP, computer vision, or an end-to-end MLOps build.
MLOpsNLP
Case study coming soonTRANSMISSION
Let's build something intelligent.
Open to conversations about Gen AI products, ML systems, and leadership roles — or just comparing notes on what actually works in production.
Mohit Kr Yadav
Bengaluru, Karnataka, India
+91 98999 36723