Last Updated on 5th September 2025
Shivam .
mailtoshivam | +91-9354505554
EDUCATION EXPERIENCE
PANJAB UNIVERSITY
BE in Computer Science DMEO,NITI AAYOG | Research Intern
June 2026 | Chandigarh, India June 2025 - July 2025 | New Delhi, India
Chandigarh College of Engineering and • Led the technology evaluation of high-performance computing (HPC) systems
Technology — Arka and Arunika.
Sector-26, Chandigarh • Performed technological review and usability assessment of key GoI
CGPA: 6.9 / 10 dashboards, with strategic recommendations for revamp and integration.
(till 5th semester) • Conducted in-depth research on cybercrime and financial fraud trends in India,
emphasizing their strategic implications on Digital India and economic security.
ST. JOHN'S ACADEMY • Received a Letter of Recommendation (LoR) from the Director, NITI Aayog for
Grad. April 2021| Delhi, India outstanding contribution and impactful research.
BAVCH EDUTECH | Research Intern
LINKS Oct 2022-Nov 2022 | Remote
Github:// TechWizDev18 • Explored the use of blockchain technology in decentralized finance (DeFi),
LinkedIn:// Shivam digital identity verification, and secure transaction systems.
Leetcode:// smilingcoder1001 • Conducted research on the applications of Artificial Intelligence (AI) and
Machine Learning (ML) in financial forecasting, fraud detection, and credit
COURSEWORK scoring systems.
UNDERGRADUATE
• Data Structures
• Operating Systems PROJECTS
• Object Oriented Programming MCP-BASED DYNAMIC ROUTING FOR AUTONOMOUS
• Database Management Systems VEHICLES May 2025 – Aug 2025
• Algorithm Design and Analysis • Built Spring Boot backend with REST APIs leveraging LLM-powered synchronous
• Artificial Intelligence route calculation to persist optimal navigation paths in MongoDB.
• Software Engineering • Implemented asynchronous background processing for dynamic time–distance
• Machine Learning trade-off analysis and real-time retrieval.
SKILLS TRADELENS | Strategy Backtesting Software
July 2025 – Aug 2025
PROGRAMMING
• Implemented technical strategies (RSI, MACD, MA crossover) with a Python
• C++ • Python • Java
backtesting engine to compute signals and evaluate performance metrics.
FRAMEWORKS
• Built a quant trading backtester using Spring Boot, Python, and GraphQL,
• Spring-Boot • JUnit • Mockito •
integrating Kafka for real-time data streaming and MongoDB for storage.
OpenCV • Keras
TECHNOLOGIES NEURAL STYLE TRANSFER WITH VGG19 | Deep Learning Project
• Kubernetes • Apache Kafka • REST APIs June 2024 – Dec 2024
• Docker • Cloud fundamentals (AWS)
• Implemented a Neural Style Transfer (NST) pipeline using the pretrained
DATABASES VGG19 convolutional neural network to blend the content of one image with
• MySQL • MongoDB
the style of another.
• Applied feature extraction, Gram matrix computation, and gradient-based
HOBBIES & INTERESTS optimization to minimize combined content and style losses.
• Listening to music • Developed using Python and PyTorch with CNNs for image feature
representation.
• Performing and enjoying Bhangra
(traditional Punjabi dance)
CERTIFICATIONS
• Exploring financial markets and
• Algorithms Specialization – Stanford University
gaining exposure to finance
• Machine Learning Specialization – Stanford University (Coursera, Andrew Ng)
• Google IT Support Professional Certificate – Google
• Google Cybersecurity Professional Certificate – Google
VIRTUAL INTERNSHIPS
J.P. Morgan Chase & Co. September 2025
Software Engineering Job Simulation (via Forage)
• Completed a hands-on job simulation focused on building a financial data
