Software Development Engineer with foundations in Data Structures, Algorithms, and Object-Oriented Programming and hands-on experience in AI/ML systems, Android development, and scalable backend APIs.
Software Development Engineer candidate experienced in building privacy-first AI/ML, Android, web, and backend API projects.
Infosys Springboard
12/2025 – 03/2026
Developed an ML-based recommendation engine for sustainability-focused supply chain analysis using real-world datasets, using Python, Data Science, Machine Learning, and Recommendation Systems.
Microsoft & SAP (Edunet Foundation)
12/2024 – 01/2025
Built and presented an AI project prototype to industry experts and applied machine learning concepts to real-world datasets, achieving significant accuracy improvements.
GDG on Campus (BCET)
Organized cloud computing workshops for more than 100 students.
IETE
Participated in technical and research activities.
GDG Durgapur DevFest
Contributed to visual design and event branding.
Bachelor of Technology
2022 – 2026
7.7 CGPA till 7th semester
Developed a privacy-first Android application using on-device AI for multimodal emotion detection and crisis safeguards, with confidence-weighted fusion and local mood analytics. Technologies: Java, Android SDK, TensorFlow Lite, Natural Language Processing, Audio Signal Processing, Computer Vision.
Built a custom Android keyboard with N-gram models for on-device word prediction and integrated a federated learning pipeline using Flower and Flask for privacy-preserving global model updates. Technologies: Java, Android IME, WorkManager, OkHttp, Python, Flask, Flower (FedAvg), NumPy.
Created a CNN-based classification system using ResNet50 to identify crop diseases from images, improved accuracy by 15% through transfer learning, and deployed a prototype for real-time field analysis. Technologies: Python, TensorFlow, Keras, OpenCV, CNN, Transfer Learning.
Developed a high-performance real-time translation API using FastAPI, Hugging Face transformers, and CUDA acceleration, with Pydantic schema validation for low-latency, reliable data exchange. Technologies: Python, FastAPI, Hugging Face transformers, PyTorch, CUDA, Pydantic, REST API.
Built a React utility to automate HTML image tag generation with live attribute and style customization for configurable code output. Technologies: React, JavaScript/TypeScript, HTML, CSS.
Developed a feature-rich single-page task management application using Pure JavaScript, HTML5, and CSS3, with Kanban boards, multiple views, a Pomodoro Timer, and Web Speech API voice-based task entry.