🎓 Computer Engineering | AI & Backend Developer | Research-Oriented Engineer
📍 Pune, India

I’m a Computer Engineering undergraduate with strong hands-on experience in AI-powered systems, backend development, data engineering, and cloud deployment. I enjoy building end-to-end, production-oriented systems that combine machine learning, clean backend architecture, and real-world data.

Currently focused on Artificial Intelligence, Machine Learning, and scalable backend systems, while actively preparing for research-focused postgraduate programs and high-impact engineering roles.

• 🤖 AI-driven platforms (ML, sentiment analysis, XAI)
• ⚙️ Backend systems & REST APIs
• 📊 Data pipelines & automation
• ☁️ Cloud-hosted applications
• 🧠 Research-oriented problem solving

• Python
• C / C++
• JavaScript
• HTML / CSS

• Django
• Node.js
• Express.js
• REST APIs
• ETL Pipelines
• Database Design

• PostgreSQL (Supabase)
• MySQL
• MongoDB

• Machine Learning
• Sentiment Analysis (Financial News)
• Feature Engineering
• Model Evaluation
• Explainable AI (XAI – planned integration)

• AWS EC2
• AWS S3
• Cloud Deployment (Render)
• Linux
• Git & GitHub

• Data Structures & Algorithms
• Object-Oriented Programming
• Operating Systems
• DBMS

Tech: Node.js, Express.js, MongoDB, TensorFlow, Deep Learning

• Designed an AI-powered paper trading platform with real-time market data integration (Upstox API, <1s latency)
• Implemented a trade journal analyzer to log, evaluate, and categorize simulated trades
• Designed sentiment analysis pipeline for financial news (target accuracy ~80%)
• Planned Explainable AI (XAI) module to label trades as Good / Risky / Bad with interpretable insights

Tech: Django, Python, PostgreSQL, PyMuPDF, Supabase, Render

• Built a full-stack expense tracker with bank statement PDF parsing
• Automated transaction extraction, reducing manual input by 80%+
• Added analytics & filtering to improve financial insights
• Deployed on cloud for 24/7 access

Tech: Python, REST APIs, CSV, JSON

• Built a real-time crypto tracking system using CoinGecko API
• Logged prices of 10+ cryptocurrencies every 15 minutes
• Generated 500+ daily records with timestamped logs
• Modular architecture for scalability and maintainability

May 2025 – July 2025

• Automated file organization using Python, eliminating 100% manual sorting
• Designed JSON correction pipelines, reducing processing errors by 90%+
• Built scheduled scripts to process data, upload to AWS S3, and log anomalies
• Presented the solution during internship review with strong positive feedback

• 🥇 Top 5 finish (twice) – Smart India Hackathon internal rounds (80+ teams)
• 🤝 Core organizer – IOIT MUN, managed logistics for 100+ participants
• 📊 JEE Advanced 2022: 4674 General EWS Rank
• 📈 MHT-CET 2022: 96.49 percentile

• Advanced Machine Learning & Deep Learning
• System Design & Backend Architecture
• Research & AI interpretability
• DSA (LeetCode / Codeforces)

• AI / Backend Internships & Roles
• Research collaborations
• Open-source contributions
• Technical discussions & mentorship

I enjoy helping others with meaningful projects — feel free to reach out.

• 🌐 Portfolio: https://apurvwajage.github.io/Portfolio
• 💼 LinkedIn: https://www.linkedin.com/in/apurv-wajage
• 🧑‍💻 GitHub: https://github.com/apurvwajage

“Build systems that scale. Build ideas that last.” 🚀