About Me
Education :
B.Tech in Computer Science Engineering (Specialized in Data Science)
I am a Computer Science student with a keen interest in Data Science and Machine Learning. Currently pursuing my B.Tech in Computer Science, I love to explore new technologies and build projects that solve real-world problems.
Let's TalkSkills & Technologies
Languages
Core stack — from DSA and backend scripting to interactive web interfaces.
Machine Learning
- Scikit-learnTF-IDF, Naive Bayes, NLP classifiers
- TensorFlow & PyTorchDeep learning, model training & eval
- NLTKNLP & sentiment analysis
LLM & AI Systems
- Quantization (GGUF)Mistral 7B & Phi — ~70–75% memory reduction
- Ollama & Open WebUILocal LLM, multi-user browser inference
- OpenAI APIs & mem0Long-term memory AI agent (J.A.R.V.I.S)
Infrastructure & DevOps
Self-hosted AI lab on 8GB RAM Linux — containerized, HTTPS-secured & remote-accessible via Tailscale.
Backend & APIs
- Flask (REST APIs)ML model serving — <10–50ms latency
- Chrome ExtensionsReal-time inference for fake job detector
Databases
MySQLRelational DB design for backends & projects
Projects
Real vs Fake Job Classifier
NLP-based fraud detection system trained on 17,000+ job listings. Features a Flask API and Chrome Extension for real-time inference with <50ms latency.
Self-Hosted AI Lab
Deployed Mistral 7B & Phi LLMs locally on 8GB RAM Linux server using GGUF quantization (75% memory reduction). Containerized stack with HTTPS/Tailscale security.
PPE Detection
A model that identifies and classifies Personal Protective Equipment (PPE)
Live in real time.
(Custom Trained Dataset)
Personal portfolio Website
A personal portfolio website showcasing my projects and skills.
(You are currently viewing it!)
J.A.R.V.I.S
A personalized AI voice assistant in Python that integrates real-time natural language interaction with a self-learning memory system (mem0),automate workflows using n8n MCP server, and control external apps like Spotify.