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Open to work | Full-Stack & AI/ML
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Open to work | Full-Stack & AI/ML

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CipheR2508/README.md

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🧠 About Me

name       : Ishan Nerli
location   : Kolhapur, India 🇮🇳
education  : B.E. Computer Science — Sanjay Ghodawat University
cgpa       : 8.1 / 10
graduating : June 2026
status     : ✅ Open to Work — Full-Stack | Backend | AI/ML
interests  : LLM Integration, RAG Pipelines, Microservices

CS final-year student who builds things that actually work — full-stack apps with clean architecture, sub-200ms APIs, ML microservices, and LLM integrations using Claude, Gemini & Ollama. IIT-certified in Data Analytics and Deep Learning.


⚙️ Tech Stack

💻 Languages

JavaScript TypeScript Python C C++ Java

🎨 Frontend

React Vite Next.js TailwindCSS HTML5 CSS3

🔧 Backend

Node.js Express FastAPI Django REST API

🗄️ Databases

MongoDB PostgreSQL Redis MySQL SQLite

🤖 AI / ML

Scikit-learn NumPy Pandas TensorFlow PyTorch Keras Hugging Face Transformers LangChain LlamaIndex OpenAI Claude Code Codex Gemini CLI

🛠️ Tools & DevOps

Git GitHub Docker Postman Cursor Antigravity


🚀 Featured Projects

💰 AI Personal Finance Manager



Full-stack finance platform with ML microservices, AI-driven spending insights, budget forecasting, and anomaly detection. Integrated Claude & Gemini APIs for natural language financial guidance.

🔑 Highlights
  • Sub-200ms API response times
  • 85% prediction accuracy on loan risk
  • Modular microservices architecture
  • 500+ users served

🛒 E-Commerce Backend System



Production-grade RESTful backend with full user auth, product catalog, cart management, and order lifecycle — built for real-world security and scale.

🔑 Highlights
  • RBAC middleware for granular access control
  • 40% improvement in CRUD performance
  • Algorithmic indexing strategies
  • Full order lifecycle management

📊 Sentiment Analysis & Loan Prediction



End-to-end ML pipeline for loan eligibility prediction with NLP-based sentiment analysis on unstructured applicant text.

🔑 Highlights
  • 0.87 F1-score, 88% accuracy
  • 10,000+ records processed
  • Benchmarked 4 classifiers (AUC-ROC)
  • TF-IDF + spaCy NLP pipeline

🤖 Codebase Q&A Bot (In Progress)



RAG-powered tool that lets you chat with any GitHub repository in natural language — with file-level source citations on every response.

🔑 Highlights
  • Code-aware chunking & AST parsing
  • Semantic search over full codebases
  • File + line citation on answers
  • FastAPI backend + React frontend

📈 GitHub Stats


GitHub Streak


🏆 Certifications

🎓 Certification 🏛️ Institution 📅 Year
Data Analytics IIT Madras 2024
Deep Learning IIT Ropar 2025
Full-Stack Web Development Udemy 2024

💼 Experience

Data Analyst InternDevtown (Accenture Initiative)  Jun 2023 – Aug 2023

  • Performed EDA on 5+ real-world datasets using Python, Pandas & NumPy — reduced data inconsistencies by 30%
  • Delivered analysis reports 2 weeks ahead of deadline in a 6-member Agile team
  • Applied hypothesis testing and correlation analysis to validate data-driven recommendations

📊 DSA & Problem Solving

LeetCode Codeforces

✅ 100+ problems solved across LeetCode & Codeforces
📌 Strong grasp of time/space complexity
🧩 DSA: Arrays, Trees, Graphs, Heaps, Tries, Hashing, DP, Backtracking

🤝 Let's Connect & Build Something Awesome

LinkedIn Portfolio Email


Visitor Count

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