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Rohan
Dhanraj
Yadav
● CURRENTLY AT
AI Tech Solutions Ltd.
Agentic AI · Multi-Agent Orchestration · RAG Architecture
01 / About
Building the
Future of AI
I'm a Senior AI/ML Engineer specializing in Generative AI and Agentic AI systems. With 7+ years of total professional experience—including over 4 years building production-grade AI from data pipelines to autonomous agents—I've dedicated the last 2+ years to mastering Generative AI and the last 1+ year specifically to building autonomous AI agents.
Expert in architecting robust backend infrastructure for Agentic workflows using LangChain, LangGraph, and Python — alongside FastAPI, Docker, and Airflow for production orchestration.
Led cross-functional teams of 15+ engineers delivering AI solutions for Fortune 500 clients including Cisco, ITC Fairview, KDP, and Marco Technologies. Passionate about making AI accessible, practical, and transformative.
Education
B.E. — Mechanical Engineering
Biju Patnaik University of Technology · 2016
GATE Qualified · Credential ID: A2WR3
Certifications & Achievements
GATE ME 2016
IIT/NTA · A2WR3
ML Zoom Camp
DataTalksClub · 8F163B
Gold Badge: Python
HackerRank · 6920934A49FA
Gold Badge: Problem Solving
HackerRank · 113775E95540
Gold Badge: Statistics
HackerRank · 10-day challenge
30 Days of ML
Kaggle · Rank 69 / 7,573 teams
02 / Skills
Technical Arsenal
Comprehensive expertise across the full AI/ML stack — from LLM fine-tuning to production DevOps.
03 / Experience
Career Journey
7+ years of professional experience — from industrial quality engineering to building production-grade Agentic AI systems for Fortune 500 enterprises.
AI Tech Solutions Ltd.
AI Engineer — Backend & AI Systems Architecture
Agentic AI Platforms · Multi-Agent Orchestration · Advanced RAG
- ▹Led 15-member team building production-grade Agentic AI systems with autonomous decision-making
- ▹Developed modular ML pipelines (Omodore) achieving 38% accuracy improvement via advanced RAG architecture
- ▹Designed multi-agent orchestration using LangGraph for complex enterprise workflow automation
- ▹Deployed containerized AI systems with Docker + vector databases (Qdrant, Milvus, Weaviate) for semantic search at scale
- ▹Built automated web scraping platform (Rbetraj) with Playwright + Selenium for real-time e-commerce data extraction
- ▹Architected multi-modal agentic AI assistant (GALAMBO) with GPT-4, image search & autonomous tool use
Aimlytics Technology
Software Engineer — Generative AI | ML | Python
Enterprise-scale GenAI & NLP for Fortune 500 Clients
- ▹Led 8-member team delivering custom AI workflows for Cisco, ITC Fairview, KDP, Omnitrax, PDS, Marco Technologies
- ▹Architected RAG-based virtual sales assistant (SalesMoji) reliably handling 4,500+ daily API requests
- ▹Orchestrated data pipelines processing 100K+ daily records using Apache Airflow for automated ML workflows
- ▹Fine-tuned BERT & RoBERTa for sentiment analysis, NER & text classification — 18% performance improvement
- ▹Implemented vector DB solutions (Qdrant, Milvus, Weaviate, Chroma) for enterprise semantic retrieval
- ▹Built 15+ language NLP translation pipeline (evalmyBRAND) · CLIP/Flan-T5 fine-tuning (InventtEd)
- ▹Resolved 28 critical production tickets with 100% on-time delivery
iNeuron.ai
Machine Learning Engineer Intern
ML Pipeline Development · Hyperparameter Optimization · MLOps
- ▹Led team of 10 building automated ML pipeline architectures for multi-class classification
- ▹Implemented Optuna hyperparameter optimization — 35% training time reduction
- ▹Built 77-marker protein expression classification system across 8 classes for bioinformatics research
- ▹Deployed containerized ML applications using Flask + Docker on Linux/AWS
Bureau Veritas Group
Metallurgical Quality Engineer
Quality Assurance · Statistical Analysis · Industrial Analytics
- ▹Quality assurance for metals & minerals at Jindal Steels, Vedanta Aluminum, and Tata Steels
- ▹Conducted metallurgical testing, statistical analysis & data-driven quality improvement
- ▹Managed quality standards compliance across three major steel manufacturing facilities
04 / Projects
AI Systems Built
Production-grade AI applications — from autonomous agent platforms to enterprise-scale RAG systems.
Revolutionary no-code platform enabling non-technical users to build sophisticated domain-specific AI agents. Achieved 38% accuracy improvement through advanced RAG pipeline architecture.
- ◆38% accuracy boost via RAG
- ◆No-code agent builder
- ◆LangGraph multi-agent orchestration
Open-source agentic scraping platform combining LLM intelligence with Pydantic-validated structured data extraction for e-commerce competitive analysis.
- ◆LLM-guided extraction
- ◆Pydantic structured output
- ◆Real-time price tracking
Sophisticated multi-modal virtual agent integrating text and image processing with real-time information retrieval and advanced context management.
- ◆Text + image processing
- ◆Context-aware responses
- ◆Real-time web retrieval
SALESMOJI
Production-scale GPT-powered sales intelligence platform processing 100K+ daily records and handling 4,500+ daily API requests for Fortune 500 clients.
- ◆100K+ daily records via Airflow
- ◆4,500+ daily API requests
- ◆Fortune 500 clients
AISERA
RAG-based conversational AI assistants for Fortune 500 clients (Cisco, ITC, KDP, Marco, PDS, Omnitrax). BERT fine-tuning with 18% performance gain.
evalmyBRAND
AI-powered brand analytics with 15+ language support. Fine-tuned RoBERTa for aspect-based sentiment analysis, NER, and text classification with 18% performance improvement.
InventtEd
Pioneer education platform with CLIP fine-tuning for text-to-image, Flan-T5 for MCQ generation, and AI-powered grading and tutoring.
Protein Classifier
Multi-class ML system classifying 77 protein expression levels across 8 classes for Down syndrome research. 35% training time reduction via Optuna.
06 / Contact
Let's Build Together
Open to exciting AI/ML opportunities, collaborations, and consulting. Reach out — I respond within 24 hours.
rohan.dhanraj.y@gmail.com
rohan-dhanraj-yadav
GitHub
rohandhanraj
Phone
+91-7008958143
Twitter / X
@rdx2496
HackerRank Gold
Python · Problem Solving · Statistics
Kaggle Rank
30 Days of ML · 7,573 teams
Model Boost
BERT & RoBERTa fine-tuned
Records/Day
Airflow production pipelines
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