CS Student specializing in AI & ML | Full-Stack & Systems Developer
B.Tech Computer Science student at Lovely Professional University, specializing in Artificial Intelligence & Machine Learning (CGPA 6.56). I build offline-first, privacy-focused software and explore applied AI through hands-on projects.
$ whoami
Biswajit Biswas · AI & ML | Full-Stack & Systems
$ cat specs.json
"focus": "Offline-First & Privacy", "cgpa": 6.56, "status": "Actively Building"
B.Tech Computer Science student at Lovely Professional University, specializing in Artificial Intelligence & Machine Learning (CGPA 6.56). I build offline-first, privacy-focused software and explore applied AI through hands-on projects.
Specialization
AI & Machine Learning
Engineering Principle
Offline-First & Privacy
Institution
LPU (CGPA 6.56)
Focus Areas
Systems & Full-Stack
Computer Science coursework with targeted study in AI & ML, mathematical logic, algorithms, and software engineering.
Phagwara, Punjab
B.Tech, Computer Science and Engineering
AI & ML
Coursework in Artificial Intelligence, Machine Learning, Data Structures, Algorithms, and Systems Architecture.
Siliguri, West Bengal
Higher Secondary Education
Senior Secondary Certification
Completed higher secondary curriculum with rigorous science and mathematical concentration.
Siliguri, West Bengal
Secondary Education
Secondary School Certificate
Foundational secondary education with strong analytical, mathematical, and computer science basics.
Core programming languages, development frameworks, persistent storage engines, and collaborative workflows.
Production-focused desktop and systems software running 100% locally with zero external telemetry or cloud leakage.
Systems & Utilities
Real-time system monitoring dashboard tracking CPU, memory, disk, and network usage with SQLite-based historical logging. Fully offline, no cloud dependency.
Key Architecture: Zero cloud overhead, live multi-metric telemetry, automated SQLite periodic snapshots.
Finance & Desktop
100% offline personal finance manager with income/expense tracking and automated tax calculation.
Key Architecture: Local encrypted ledger, tax bracket estimation, categorised analytics and cash-flow reporting.
Cybersecurity & Cryptography
Offline Windows password manager securing credentials with AES-256-GCM encryption and Argon2id key derivation.
Key Architecture: Military-grade AES-256-GCM authenticated cipher, Argon2id memory-hard master key derivation.
Structured hands-on training under industry leaders and AI development communities.
Role: Software Development Trainee · Infosys Springboard
Intensive training focusing on core Python architecture, object-oriented software patterns, modular design, and robust algorithm implementation.
Role: AI Trainee · BlocksBlock & OpenxAI
Hands-on exploration of applied AI models, machine learning pipelines, prompt engineering workflows, and practical deployment paradigms.
Recognized certifications covering cloud AI, deep learning systems, and low-level C++ architectures.
Issuer: LinkedIn Learning
Date: Nov 2025
Cloud AI Concepts · AWS ML Fundamentals · GenAI Architectures
Issuer: LinkedIn Learning
Date: Nov 2025
Azure Cognitive Services · Responsible AI Principles · Computer Vision & NLP
Issuer: Saylor Academy
Date: Jan 2026
Systems Programming · Memory Management · Data Structures in C++
Proven problem-solving capabilities across algorithmic challenges, hackathon prototypes, and shipped software.
Solved 100+ problems on coding practice platforms to strengthen data structures and algorithms fundamentals.
Built and shipped three independent full-stack projects outside coursework, from design to deployment.
Participated in a college-level hackathon, collaborating in a team to design and demo a working prototype within a 24-hour window.
Engineering Mindset
I build standalone, robust applications that respect privacy, execute instantly, and safeguard user telemetry locally.
Specializing in AI & ML at LPU, translating theoretical math and neural architectures into practical, usable tools.
Proficient in C, C++, Python, and full-stack web stacks with deep respect for memory safety, algorithms, and cryptography.
Interested in collaborating, hiring for internships, or discussing applied AI and systems engineering? Feel free to drop a message or reach out directly.