• 🔭 Currently working as Software Development & Automation Engineer at TCS

• 🌱 Currently exploring AI Systems, Distributed Backend Architecture and High Performance Networking

• 💬 Ask me about Backend Development, Networking Systems, Automation Frameworks and Machine Learning

• ⚡ Experienced in building scalable APIs, packet inspection engines and cloud deployed backend systems

• 📫 How to reach me divyanshbangwal@gmail.com

Tata Consultancy Services (TCS)
Software Development & Automation Engineer – UK Automotive Client

• Engineered an automated validation framework for vehicle software platforms reducing manual verification cycles by 70%.
• Architected requirement traceable automated test pipelines increasing functional coverage by 40%.
• Implemented computer vision models for automated visual inspection workflows achieving 92% accuracy.
• Optimized Python automation utilities accelerating regression testing by 3×.

Network Traffic Analysis & Deep Packet Inspection Engine
C++, PCAP, Networking

• Built a deep packet inspection engine capable of analyzing packets from PCAP files and live network capture.
• Implemented protocol decoding for Ethernet, IPv4, TCP and TLS enabling byte level packet inspection.
• Extracted TLS Server Name Indication (SNI) from encrypted handshake packets to identify domain communication.
• Designed rule based traffic filtering supporting IP and domain based monitoring policies.
• Improved packet processing throughput using multi-threading achieving 2.3× performance improvement.

QR-Based Smart Restaurant Ordering Platform
Django, PostgreSQL, Razorpay, AWS

• Built a QR-based digital ordering platform allowing customers to browse menu and place orders directly.
• Integrated Razorpay payment gateway with webhook verification for secure payment confirmation.
• Designed real-time order management dashboard reducing processing delays by 45%.
• Deployed backend services on AWS supporting concurrent multi-table ordering.

AI-Based Stock Analysis & Multibagger Prediction System
Python, Machine Learning, Streamlit

• Built an AI powered stock evaluation system using time series data and machine learning models.
• Engineered financial indicators including moving averages, RSI and volatility metrics.
• Developed data pipeline using Python and Pandas to collect stock data from Yahoo Finance.
• Created Streamlit dashboard to visualize stock trends and prediction scores.

Graphic Era Hill University
B.Tech in Computer Science and Engineering
GPA: 8.06/10