๐ B.Tech in AI & Data Science @ Sri Eshwar College of Engineering (2024โ2028) | CGPA: 8.36
๐ข Ex AI Engineer Trainee @ Microsoft GenSpark โ Azure AI, Cognitive Services, Computer Vision
๐ผ Ex Software Engineering Intern @ AlgoTutor โ Built real-time MERN chat app for 100+ users
๐ค Passionate about Deep Learning โข RAG Systems โข LLM Agents โข NLP โข System Design
โก Built a Deep Packet Inspection Engine in C++17 with 16-thread parallel processing
๐ Exploring LangChain โข LangGraph โข LlamaIndex โข n8n โข Dify โข MCP Protocol
๐ LeetCode Rating: 1680+ | Top 14% Globally | Open-source contributor
๐ฌ Running a YouTube Channel dedicated to AI & ML content
๐ Based in Tamil Nadu, India ๐ฎ๐ณ ย |ย ๐ง amanjha112113@gmail.com
๐ข AI Engineer Trainee โ Microsoft GenSpark ย |ย 2025
- Architected Azure AI solutions using Cognitive Services, Azure ML, and Computer Vision APIs for real-world enterprise projects
- Optimized ML workflows through model evaluation, A/B testing, and performance monitoring techniques
๐ป Software Engineering Intern โ AlgoTutor ย |ย 2025
- Developed a real-time MERN chat application supporting 100+ concurrent users with low-latency messaging
- Implemented WebSocket-based messaging and optimized database queries, reducing response time by 30%
โก DPI Engine โ Deep Packet Inspection System ย |ย Jan 2026
Tech Stack: C++17 Multi-threading PCAP TLS/SNI Parsing
- Achieved real-time network traffic classification across 10+ app types (YouTube, Facebook, DNS) by parsing TLS SNI fields from raw PCAP bytes using a 4-thread Fast Path pipeline
- Reduced per-packet processing latency by distributing load across 16 parallel threads via consistent hash-based producer-consumer queues
๐ฌ Real-Time Chat Application ย |ย Jul 2025
Tech Stack: MongoDB Express React Node.js
- Supported 100+ concurrent users with sub-100ms message delivery using WebSocket-based full-duplex communication on MERN stack
- Reduced database query response time by 30% by optimizing MongoDB indexes and restructuring API endpoints
๐งฌ eDNA Biodiversity AI Explorer ย |ย Mar 2025
Tech Stack: Python PyTorch Transformers DNABERT-2-117M Streamlit CLI
- Enabled zero-shot species detection on raw DNA sequences with 90%+ inter-species accuracy by fine-tuning DNABERT-2-117M on Human and Chimpanzee genome datasets
- Reduced manual biodiversity analysis time by building an end-to-end Streamlit interface that classifies eDNA sequences and generates reports in under 5 seconds
| ๐ Achievement | ๐ Year |
|---|---|
| ๐ฅ 2nd Prize โ Hackathon | Led team to build AI-powered autonomous robot with object detection | 2025 |
| ๐ Salesforce Trailhead | Earned 25+ badges in CRM, data modeling & process automation | 2025 |
| ๐ Open Source Contributor | PRs, issue resolutions & feature enhancements on GitHub | 2025 |
| ๐ Certificate | ๐๏ธ Issuer | ๐ Year |
|---|---|---|
| โ Oracle Java Foundations Certified | Oracle | 2025 |
๐ป Software Engineer Intern Certification | CF9AA87275A4 |
HackerRank | 2025 |
๐๏ธ SQL (Intermediate) Certification | CA70DAB01604 |
HackerRank | 2025 |
| ๐ Java from Zero to First Job โ 2000+ Examples | 151.5 hrs | Udemy | 2025 |
| ๐งฎ Mastering DSA using C and C++ | 58.5 hrs | Udemy | 2024 |
โ๏ธ Snake not showing? Click here for setup steps
Step 1: In your profile repo Amanjha112113/Amanjha112113, create .github/workflows/snake.yml
Step 2: Paste this:
name: Generate Snake
on:
schedule:
- cron: "0 0 * * *"
workflow_dispatch:
jobs:
generate:
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- uses: Platane/snk/svg-only@v3
with:
github_user_name: ${{ github.repository_owner }}
outputs: |
dist/github-contribution-grid-snake.svg
dist/github-contribution-grid-snake-dark.svg?palette=github-dark
- uses: crazy-max/ghaction-github-pages@v3.1.0
with:
target_branch: output
build_dir: dist
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}Step 3: Actions tab โ Generate Snake โ Run workflow โ Done โ
| ๐ท๏ธ Category | ๐ Stats |
|---|---|
| ๐ข Easy Solved | |
| ๐ก Medium Solved | |
| ๐ด Hard Solved | |
| ๐ Max Contest Rating | |
| ๐ฏ Global Ranking | |
| ๐ Rank |
| ๐ Topic | ๐ Platform | ๐ฅ Status |
|---|---|---|
| Azure AI-102 Certification | Microsoft Learn | ๐ก In Progress |
| LangGraph โ Multi-Agent Workflows | DeepLearning.AI | ๐ก In Progress |
| Model Context Protocol (MCP) | Anthropic Docs | ๐ข Exploring |
| Deep Learning Specialization | Fast.ai | ๐ก In Progress |
| Kaggle ML Competitions | Kaggle | ๐ข Active |
