First AI & ANN Project in C
Built custom backpropagation neural networks in C language under Dr. Sunil Padhi to predict annual solar sunspot cycles.
Institute Leadership
Directed by Dr. Rohit, AIIT Roorkee brings over two decades of software engineering experience and applied AI research into hands-on student mentoring.
AIIT Roorkee is founded and led by Dr. Rohit, an experienced AI practitioner, educator and principal AI consultant. The leadership model focuses on direct student interaction, production-grade code reviews, and preparing learners for real technology careers.
Technology education requires more than syllabus delivery. Under the leadership of Dr. Rohit, AIIT Roorkee operates with a commitment to engineering depth, practical implementation, and honest career guidance.
Our curriculum rejects superficial tutorials in favor of rigorous problem solving, clean software architecture, and practical model deployment. Every learner is encouraged to understand core principles from scratch before utilizing high-level abstractions.
Unlike institutional setups where leadership is detached from classroom instruction, Dr. Rohit actively designs course modules, mentors capstone research projects, and guides placement preparation workshops.
Founder & AI Direction
Principal AI Consultant & Data Science Architect
Dr. Rohit's journey in Artificial Intelligence began over two decades ago. In 2004 at IIT Roorkee, under the mentorship of Dr. Sunil Padhi (HOD, Electrical Department), he completed his inaugural AI and Artificial Neural Network (ANN) project, writing custom neural network backpropagation algorithms ground-up in C Language to predict annual solar sunspot cycles.
In 2007 at Xalted Information Systems in Bengaluru, under the mentorship of Srinivas Sir, he authored his first automation scripts in Unix shell scripting to parse, analyze and process massive Call Detail Records (CDR), sparking a lifelong passion for high-throughput data engineering and automated systems.
Over the past two decades, Dr. Rohit's expertise evolved alongside AI technology: from low-level C neural algorithms and Unix shell data automation to predictive deep learning, enterprise Retrieval-Augmented Generation (RAG) and state-aware Agentic AI multi-agent networks.
As an independent AI consultant at rcode.in and Founder of AIIT Roorkee, Dr. Rohit established the institute in 2025 to bridge hands-on industry engineering with future-focused education, mentoring learners to master fundamentals, build real software and launch meaningful technology careers.
“From writing neural networks in C at IIT Roorkee in 2004 to orchestrating multi-agent networks today, the core principle remains: building AI that reasons, solves real problems and delivers lasting value.”
Technical Matrix
Practical engineering experience spanning autonomous multi-agent networks, enterprise RAG, deep learning models and high-throughput infrastructure.
LangGraph, CrewAI, AutoGen, stateful graph orchestration, autonomous workflows
Qdrant, Pinecone, LlamaIndex, BM25 hybrid search, Cohere reranking, knowledge graphs
PyTorch, statistical modeling, LSTM time-series, transformers, anomaly detection
vLLM, private GPU cluster serving, FastAPI, Linux systems, data pipelines
Two Decades of AI Engineering
From authoring backpropagation neural networks in C at IIT Roorkee in 2004 to orchestrating state-aware multi-agent AI networks and founding AIIT Roorkee.
Built custom backpropagation neural networks in C language under Dr. Sunil Padhi to predict annual solar sunspot cycles.
Authored first Unix shell automation scripts under Srinivas Sir for large-scale CDR processing, igniting data pipeline expertise.
Architected automated feature stores, linear/logistic classifiers and decision tree models for enterprise datasets.
Scaled distributed ML pipelines processing millions of records using Hadoop, PySpark and analytical SQL engines.
Built autoencoder neural networks in PyTorch for high-frequency transaction fraud and anomaly detection.
Developed hybrid time-series demand forecasting models combining PyTorch LSTM neural networks with gradient boosting.
Constructed medical NLP search pipelines querying 4.5M PubMed articles using domain-tuned BioBERT embeddings.
Pioneered early RAG architectures connecting enterprise document vector stores with foundation models for grounded Q&A.
Combined dense vectors, BM25 keyword retrieval, Cohere reranking and Neo4j entity graphs to eliminate hallucinations.
Deployed self-hosted open-weight LLMs (Llama 3 70B) on private NVIDIA GPU clusters with vLLM PagedAttention optimization.
Architected state-aware multi-agent networks and established AIIT Roorkee to bridge real-world engineering with practical education.
Leading rcode.in enterprise AI advisory and directing AIIT Roorkee's applied curriculum in AI, IT, research and innovation.
Guiding Principles
Instruction led by engineers who build and deploy software systems, ensuring classroom lessons match modern production environments.
Emphasis on foundational data structures, clean code, unit testing, and architectural discipline rather than superficial certificate collection.
Clear communication regarding placement assistance without unrealistic promises, fostering an authentic culture of hard work and skill building.
Direct Practitioner Mentorship
FAQs
AIIT Roorkee is founded and led by Dr. Rohit, who directs the curriculum, research initiatives and engineering mentorship programs.
Dr. Rohit brings over two decades of software engineering experience and applied AI research into hands-on student mentoring, with specialization in Agentic AI, Custom RAG and machine learning systems.
Yes. AIIT Roorkee maintains small batch sizes and practical lab sessions where students receive direct mentorship, project reviews and career guidance from Dr. Rohit.
Our philosophy emphasizes rigorous foundational understanding, hands-on implementation in code, independent problem solving, and ethical application of artificial intelligence.