I design agentic AI systems that ship, not just demo.
Manoj Kumar TN — building LLM-powered pipelines, RAG architectures and full-stack AI products, from first prototype to production-grade release.
The engineer behind the agents.
I'm Manoj — an AI/ML engineer who likes building systems that quietly do the work: agents that plan, retrieve and act instead of just answering questions. When I'm not training or fine-tuning something, I'm usually shipping the product wrapped around it.
Based in Bengaluru, currently finishing my B.Tech in Information Science & Engineering while working across agentic AI, computer vision and full-stack delivery.
Capabilities, by category.
4 capability groups, 20 tools and techniques in active rotation — from model architecture to the interface someone actually clicks on.
AI & Generative Systems
Software Engineering
Cloud & MLOps
Data & Delivery
Three builds, three real problems.
Selected projects spanning agentic recommendation systems, computer vision and applied machine learning.
Digital Agro-Farma Mapping & Farmer Support Platform
An AI-driven digital mapping platform helping farmers and agro-MSMEs locate cold storage, soil labs, logistics hubs and agro-processing centers using agentic AI recommendation logic.
Integrated generative AI-powered decision support for crop and infrastructure advisory based on region and crop type.
Architected as a scalable, national-level solution for rural digitization — proposed for MSME Hackathon 4.0 and 5.0.
Advanced AI Traffic Management System
An AI-based system that classifies traffic density and detects congestion patterns directly from video and sensor data.
Designed an automated AI decision-making pipeline for intelligent signal control, with a real-time CCTV integration roadmap.
Agro AI Crop Prediction System
ML models for crop yield prediction built from weather and soil parameters, with full preprocessing and evaluation pipelines.
Published as "AGROPRO — AI-Powered Smart Agricultural Advisory Platform" in IJARIIE, Vol. 11, Issue 6, 2025.
Where I've worked.
Two internships, both hands-on with production tools rather than tutorials.
- Built AI agent workflows using LLMs, prompt engineering and automation to solve real-world business use cases; developed AI-powered applications with Python and REST APIs.
- Applied RAG pipelines and vector databases to improve response accuracy; tested solutions for scalability and strengthened skills in agent architecture, API integration, model evaluation and Agile delivery.
- Built Android applications using Kotlin and Jetpack Compose; explored generative AI integration in mobile apps via Android Studio, Google Cloud Labs and Google AI Studio.
- Designed UIs, built prototypes, integrated Firebase and debugged iteratively within an Agile, industry-oriented internship workflow.
Certifications, research and finals.
Credentials picked up while building — plus one paper that made it into print.
"AGROPRO — AI-Powered Smart Agricultural Advisory Platform"
MSME Hackathon 4.0 & 5.0
Recognized for AI-driven and MSME-centric solutions.
Oracle Cloud Infrastructure 2025
Certified Generative AI Professional.
J.P. Morgan
Software Engineering track.
Deloitte
Cybersecurity track.
Tata Group
GenAI-powered data analysis.
Power BI for Data Analytics
Applied data visualization and reporting.
Education
B.Tech — Information Science & Engineering
Rajarajeshwari College of Engineering, VTU
Aug 2018 — May 2026
Let's build the next agent together.
Open to AI/ML engineering roles and collaborations in agentic systems, LLM infrastructure and applied ML.