ENGINEER • RESEARCHER • BUILDER New Delhi, India

Building intelligent
systems that solve
real-world problems

Generative AI, LLMs, and Scalable Backend Architecture – creating products where engineering rigor meets human impact. M.Tech in Machine Intelligence at IIT Delhi.

Shashwat Raj Profile

The Journey

I am an M.Tech. student in Machine Intelligence at IIT Delhi, with a B.Tech. in Artificial Intelligence from NITK Surathkal.

I have substantial experience in building production-grade AI systems, scalable backend APIs, and LLM-powered applications for real-world use cases.

My core focus lies in Python, Generative AI, Retrieval-Augmented Generation (RAG), prompt engineering, and context-aware system design. Passionate about creating intelligent, reliable, and impactful AI products.

Education

IIT Delhi

M.Tech in Machine Intelligence

Expected 2027

NITK Surathkal

B.Tech in Information Technology (AI & ML) • CGPA: 8.9/10

2026

Bal Bhawan Public School, Bhopal

Higher Secondary (Class XII) • Percentage: 87%

2022

Experience

Jan 2026 – Present

Co-Founder / GenAI Engineer

AgriDoot by NovosEdge Pvt. Ltd. (India)

  • Co-built an AI-powered agricultural intelligence platform delivering real-time advisory to farmers.
  • Developed a GenAI-based chatbot (Gyan) with context-aware responses using LLMs.
  • Integrated weather data, mandi rates, and AI-driven recommendations into a unified system.
  • Designed scalable backend architecture with modular APIs and user-specific personalization.
  • Led product development, AI system design, deployment workflows, and system scaling.
Oct 2025 – Dec 2025

Project Intern

Microsoft (Remote)

  • Worked on AI/ML-based solutions targeting real-world problem statements.
  • Contributed to model development and system design for scalable applications.
  • Collaborated with cross-functional teams to build efficient and reliable solutions.
Feb 2025 – Jul 2025

Researcher

IIT Delhi (On-site)

  • Conducted research in artificial intelligence and machine learning domains.
  • Worked on model development, experimentation, and performance evaluation.
  • Explored advanced AI techniques and their real-world applications.
Sep 2023 – Dec 2023

Software Developer Intern

Wipro Ltd.

  • Developed data-driven solutions using Python and analytical techniques.
  • Performed data analysis to extract insights for business use cases.
  • Improved process workflows and enhanced user experience through system optimization.
Mar 2023 – Aug 2023

Software Developer Intern

Prudent Systems Pvt. Ltd.

  • Built custom workflows, validation rules, and backend logic for business applications.
  • Developed automated email systems and notification services using Python.
  • Supported data analysis and model training tasks for internal projects.
Jan 2021 – Dec 2022

Project Developer (Part-time)

Hackster.io (Remote)

  • Worked on IoT-based and AI-driven projects as part of R&D initiatives.
  • Developed solutions using Arduino, Python, and web technologies.
  • Built prototypes integrating hardware with intelligent software systems.

Featured Projects

Scroll to explore

AgriDoot

AI-Powered Agricultural Intelligence

Integrated weather data, mandi rates, and AI-driven recommendations. Built modular Flask APIs with scalable architecture and API key authentication. Enabled disease detection, chatbot assistance, and personalized insights.

FlaskGenAIAPIs
01

Gyan Advanced

GenAI System with Context Injection

Designed an advanced LLM pipeline using Drona and Gemma with dynamic system prompts. Integrated farm-specific context. Implemented history tracking and optimized response quality using structured prompt engineering.

LLMsPrompt EngGemma
02

Advanced RAG

Hybrid Search System

Built a RAG pipeline combining vector and BM25-based retrieval. Improved answer accuracy and reduced hallucinations. Designed document chunking, embeddings, and integrated FAISS / Pinecone.

PineconeFAISSVectors
03

Project K

Personalized LLM Companion

Built a fine-tuned LLaMA-based conversational AI system. Enabled long-term memory and context retention to support evolving conversations. Implemented safety layers to mitigate harmful or biased outputs.

LLaMAMemoryAI Safety
04

Developer Console

API Platform

Built a developer platform for accessing AI APIs, including Gyan Chat, Vision, Weather, and Mandi. Implemented authentication, logging, and deployment with systemd and Nginx.

APINginxAuth
05

Foliage Detect

AI Plant Disease Detection

Developed an AI-powered image classification system. Trained deep learning models using CNN architectures for leaf image analysis. Built an API pipeline for real-time predictions.

CNNVisionAPI
06

Data Analyzer

Automated Data Analysis Tool

Built a Python-based system to process and analyze CSV datasets. Implemented customizable data visualization and automated cleaning/transformation workflows.

PythonData AnalyticsViz
07

Core Arsenal

AI Engineering

Model EvaluationLatency OptimizationCost OptimizationPrompt TestingHallucination Mitigation

GenAI & LLMs

Large Language ModelsPrompt EngineeringRAGContext ManagementMemory Systems

ML & Deep Learning

PyTorchTensorFlowScikit-learnCNNRNN

Programming & Backend

PythonFlaskREST APIsSystem DesignScalable Architecture

Databases & Infra

MySQLPostgreSQLFAISSPinecone

Cloud & Tools

GCPGitLinux (Ubuntu)ApacheNginx

Web Fundamentals

Backend DevAPI IntegrationFull-stack

Additional

System Design ThinkingStrong DebuggingTeam LeadershipProduct Thinking

Accolades

Awards

Best Project of the Year

Recognized for outstanding innovation and implementation.

2025–2026

Gold Medalist

Awarded for academic excellence.

2025–2026

Publications

Optimizing IoT Communication with LoRa

Research Publication – Available on ResearchGate

🔗 ResearchGate Link

AI Demystified – A Beginner’s Handbook

Author – Published on Amazon

🔗 Amazon Link

Certifications

Certificate 1
Certificate 2
Certificate 3
Certificate 4
Certificate 5
Certificate 6
Certificate 7
Certificate 8
Certificate 9
Certificate 10
Certificate 11