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Tanmay Adhikari. AI/ML Engineer.

AI/ML Engineer specializing in Generative AI, Computer Vision, and logistics automation systems. Experienced in building enterprise RAG platforms, edge AI monitoring pipelines, waste segmentation systems aligned with Google CircularNet workflows, and large-scale route optimization engines.

I build GenAI assistants, computer vision pipelines, and optimization engines for real-world operations.

From prototypes to production: fast, measurable, and reliable systems.

PROJECTS

Selected work

Enterprise Multi-Document GenAI Assistant (RAG System)

Production-grade Retrieval-Augmented Generation platform enabling contextual Q&A across enterprise document repositories with memory persistence and citation-based responses.

RAGVector searchLangChainLLMs

Response latency under ~2 seconds (target)

Warehouse Dock Automation System with ANPR and Edge AI

Real-time dock monitoring on edge devices processing RTSP CCTV streams; YOLOv8 vehicle detection and Gemini-powered ANPR with a SQL-backed dashboard.

Computer VisionYOLOv8Edge AIGemini APISQL

~95% vehicle detection accuracy (reported)

LLM-Powered CSV Data Transformation Tool

Natural-language driven CSV manipulation that generates transformation commands via LLM workflows to reduce manual processing time.

LLMsAutomationData engineering

~95% command accuracy (reported)

~70% time reduction (reported)

Multi-Week Hub Distribution Optimizer

Logistics optimization platform using linear programming models for supply chain efficiency via intelligent route planning and allocation.

OptimizationLinear programmingLogistics

Up to ~25% simulated cost reduction (reported)

EXPERIENCE

Building production AI

AI/ML Engineer · Transport Corporation of India (TCI)

Nov 2024 — Present

• Architecting enterprise RAG systems for intelligent document analysis and operational knowledge automation.
• Developing AI-driven dock management automation using real-time computer vision monitoring and edge inference workflows.
• Leading waste segmentation initiatives aligned with Google CircularNet architecture via RTSP pipelines.
• Deploying enterprise AI solutions including edge processing systems, automation pipelines, and logistics intelligence platforms at scale.

AI/ML Intern · OneStep Greener

Jul 2024 — Nov 2024

• Developed AI-assisted logistics planning for urban waste collection across Delhi.
• Implemented K-Means clustering with Google Distance Matrix API to create locality-based operational zones.
• Designed driver allocation logic based on vehicle capacity and estimated waste volume; improved fleet utilization by ~20%.
• Built automated scheduling workflows for scalable routing and workforce planning.

Generative AI & Machine Learning Intern · Genpact

Jan 2024 — Jun 2024

• Contributed to enterprise ML and NLP pipelines supporting operational automation for Fortune 500 clients.
• Assisted last-mile route optimization systems, improving logistics efficiency and reducing delivery costs up to ~15%.

SKILLS

Toolbox

Programming

PythonSQL

Generative AI

RAG systemsLangChainOpenAI APIGemini APIPrompt engineeringVector databases

Computer Vision

YOLOv8Object detectionWaste segmentationANPRRTSP video processingEdge AI deployment

ML & Data

Scikit-learnPandasNumPyModel developmentData pipelines

Optimization

Linear programmingK-Means clusteringLogistics routingOperational efficiency

Platforms

GitLinuxStreamlitFastAPIEdge computing devicesSQL databases

EDUCATION

Foundation

Bachelor of Technology in Computer Science Engineering

Graphic Era Hill University, Dehradun · 2025 · CPI: 7.8

CONTACT

Let’s talk

Reach out for collaborations, roles, or product work.

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India

© 2026 Tanmay Adhikari