I'm a Computer Science and Engineering student at the Institute of Technical Education and Research (ITER), Bhubaneswar, with a strong interest in software engineering, backend systems, and machine learning.
I enjoy building end-to-end applications, designing modular services, working with APIs and databases, and exploring how intelligent systems can be integrated into real-world software. My current technical interests include system design, distributed systems, backend engineering, AI/ML, and scalable application development.
- 🔭 Building software systems involving backend services, REST APIs, machine learning, and modern web technologies.
- 🌱 Currently strengthening my knowledge of system design, distributed systems, software engineering, and scalable application architecture.
- 🧠 Exploring AI/ML applications, deep learning, and intelligent software systems.
- 👯 Interested in collaborating on open-source projects and challenging software engineering projects.
- 💬 Ask me about Java, Python, JavaScript, React, Next.js, Node.js, REST APIs, Machine Learning, and Data Structures & Algorithms.
- Object-Oriented Programming
- Data Structures & Algorithms
- System Design
- Distributed Systems
- REST APIs
- CI/CD
- Software Architecture
- SQL
- Data Modeling
- Machine Learning
- Deep Learning
- Multimodal Learning
- Computer Vision
- Signal Processing
- Pandas
- NumPy
- Matplotlib
- GitHub Actions
- VS Code
- Docker
- Linux
Next.js · Node.js · FastAPI · Python · MongoDB · REST APIs · Apriori · Railway
A full-stack e-commerce platform with machine-learning-driven product recommendations.
- Designed a modular full-stack architecture with independent frontend, backend, and recommendation services.
- Built a stateless FastAPI microservice implementing the Apriori association-rule mining algorithm.
- Generated support- and confidence-based product recommendations from transaction data.
- Used REST APIs to connect independently developed services and enable modular deployment.
Next.js · Python · Hidden Markov Models · yfinance · Statistics · Matplotlib
A financial market regime analysis system using probabilistic modeling.
- Developed automated data ingestion and analysis pipelines for historical market data.
- Applied Hidden Markov Models (HMMs) to classify financial market regimes.
- Built configurable analysis workflows supporting user-defined historical time ranges.
- Developed visualizations for regime evolution, state transitions, and market behavior.
Python · OpenCV · Computer Vision · FaceAnalysis · Windows Desktop
A real-time computer vision application for automated guest identification and personalized interaction.
- Built a low-latency processing pipeline combining live data ingestion, feature extraction, classification, and confidence-based decision handling.
- Implemented automated speech announcements and duplicate-recognition prevention.
- Designed the system to maintain reliable real-time performance under varying facial appearances and movement conditions.
Python · Multimodal Learning · Deep Learning · Signal Processing
An independent research project exploring heterogeneous multimodal data fusion for breast tumor detection, staging, and growth assessment.
- Integrated EIS, PAS, NIR, and Thermography modalities.
- Developed modality-specific feature extraction pipelines using physics-based models, wavelet-domain representations, and deep-learning architectures.
- Proposed an attention-based fusion architecture for progressive integration of heterogeneous diagnostic information.
- Machine Learning & Deep Learning
- Multimodal Machine Learning
- Computer Vision
- Signal Processing
- Intelligent Software Systems
- Software Architecture
- Distributed Systems
- System Design
- 🧩 Solved 700+ Data Structures & Algorithms problems across LeetCode, CodeChef, and Codeforces.
- 🐙 Earned the GitHub Pull Shark badge through contributions to multiple GitHub projects using pull requests and collaborative development.
- 🏅 Finalist in HackNation – Nirman 4.0 (2025).
- 🎤 Pitched OncoShield at Founder's Arena – Elysium (2025), presenting its architecture, ML workflow, and engineering decisions.
- 🏆 Finalist in CodeOlympics – D3 Fest (2024).
I enjoy working with existing codebases, contributing through pull requests, learning from feedback, and collaborating with other developers.
I'm particularly interested in opportunities involving:
- Open-source software
- Backend engineering
- Full-stack development
- Distributed systems
- Machine learning applications
- Developer tooling
- 📧 Email: k0259.mpsbls@gmail.com
- 💼 LinkedIn: Sourav Pati
- 🐙 GitHub: sourav-625
- 🌐 Portfolio: souravpatiportfolio.vercel.app
- 📄 Resume: View My Resume
I'm currently focused on becoming a stronger software engineer by building real systems, contributing to collaborative projects, and continuously strengthening my foundations in computer science and system design.