I build scalable, production-ready AI systems using Machine Learning, NLP, LLMs, and Cloud technologies.

I’m an AI/ML Engineer & Data Scientist focused on building production-ready, real-world AI systems — from research and experimentation to deployment and scale.

• 🧠 Hands-on experience with LLMs, RAG systems, NLP, traditional machine learning, deep learning, and neural networks
• ☁️ Experience deploying and scaling ML solutions on AWS & GCP, including stateful and stateless architectures
• ⚙️ Strong expertise in end-to-end ML pipelines (data ingestion → model training → APIs → UI)
• 🛡️ Hands-on experience in full-stack development, enabling seamless integration of AI into real products

Currently pursuing a B.Tech in Artificial Intelligence & Data Science and actively working on impact-driven, production-grade AI platforms.

• LLMs & Agentic AI: Retrieval-Augmented Generation (RAG), prompt engineering, multi-agent and orchestrator–worker system architectures

• Machine Learning: Supervised and unsupervised learning — classification, clustering, regression, feature engineering, and model evaluation

• Natural Language Processing (NLP): Text preprocessing and representation, tokenization (WordPiece/BPE), embeddings, transformer-based models (BERT, RoBERTa, DistilBERT), text classification, semantic similarity, and information extraction (Foundational NLP: lemmatization, stemming, stop-word handling, TF-IDF)

• MLOps & Deployment: FastAPI-based inference services, Dockerized ML workflows, CI/CD pipelines, scalable and production-ready model deployment

• Cloud Platforms: AWS (EC2, Lambda), Google Cloud Platform (GCP)

• Full-Stack Development: React, Node.js, Express.js, MongoDB, Mongoose, SQL, GraphQL — building end-to-end AI-powered platforms

Languages:
Python · Java · JavaScript · SQL · R

AI / ML:
Scikit-learn · TensorFlow · PyTorch · spaCy · NLTK

LLMs & GenAI:
RAG · LangChain · LangGraph · Prompt Engineering

Backend & APIs:
FastAPI · Node.js · Express · Django · RestAPI

Frontend:
React.js · Bootstrap · Tailwind CSS · EJS Templates

Data Engineering & Pipelines:
Pandas · NumPy · Feature Engineering · ETL · EDA · Streaming Basics

Databases:
MongoDB · PostgreSQL · MySQL

Cloud & DevOps:
AWS · GCP · Docker · GitHub Actions · CI/CD

Tech Stack: Python, spaCy, LightGBM, GaussianMixture, LLMs (Groq), FastAPI, React.js, Express.js, MongoDB, Prompt Engineering

• Built a full-stack platform to help users improve their health, finances, productivity, & well-being by tracking habits, goals & utilities.
• Integrated a RAG-based AI assistant powered by LLMs, leveraging an orchestrator-worker architecture to deliver scalable, personalized, data-driven insights.
• Developed ML models for score generation and user clustering with 95%+ accuracy and used synthetic data for training with real time data to enhance model performance and scalability.

Tech Stack: Python, spaCy, scikit-learn, TF-IDF, React.js, Node.js, Express.js, MongoDB, Fast-API

• Developed an end-to-end NLP-based AI-powered ATS resume analyzer with interactive UI to compare resumes against job desc.
• Implemented personalized, AI-driven feedback to improve CV quality, achieving 97%+ accuracy in CV–job description alignment and enabling more effective job applications.

Tech Stack: Python, R, Fast-API, Isolation Forest, Leaflet, HTML

• Designed and applied an end-to-end network traffic anomaly detection system using Isolation Forest, enabling identification of suspicious patterns and security threats with alert generation model.
• Deployed model via Fast API with real-time Leaflet dashboard for visual analysis, achieving 94% detection accuracy and supporting faster threat identification and data driven security decision.

Tech: Python · Graph Neural Networks · Docker · AWS

• Modeled enterprise networks using graphs for advanced threat detection
• Improved detection accuracy by ~40%
• Deployed scalable inference using FastAPI + Docker

• Agentic AI & LLM automation
• AI-driven cybersecurity systems
• AI-driven Agricultural Systems
• Advanced MLOps & scalable model serving
• Generative AI + real-time analytics

💬 Open to AI/ML, Data Science, SDE, and Research opportunities
📩 Feel free to reach out via LinkedIn or Email

⭐ If you like my work, consider following or starring my repositories!