Ranked among the top 10 performers in the graduating batch, demonstrating consistent academic excellence.

Achieved a 3.85 average GPA over the last four semesters, with a perfect 4.0 (1st place) in the 7th semester and 3.97 (2nd place) in the 8th semester.

Coursework: Data Structures, Algorithms, Object-Oriented Programming, Database Management Systems, Operating Systems, Computer Networking, Distributed Systems, Software Architecture and Design Patterns, Software Requirement Engineering, Software Verification and Validation, Software Metrics, Linear and Abstract Algebra, Data Science, Machine Learning, Artificial Intelligence.

Scored above 85% in Higher Secondary School Certificate exams and received government scholarships.

Achieved a perfect score of GPA 5.00/5.00 in both the Secondary School Certificate and Junior School Certificate exams, receiving government scholarships for both.

Led a research project with Dr. Tanmay Bhowmik’s SERA Lab as first author of a paper (under review) on secure code generation; identified the security–functionality trade-off in existing LLM-based methods and drove the work from problem formulation to evaluation.

Developed a two-stage generate-then-select framework that builds a diverse candidate pool via multiple generation strategies and security-aware retrieval, then selects the final solution through test free ranking based on test agreement, consensus, and security scores.

Outperformed four state-of-the-art baselines across 1,200+ tasks and multiple LLMs, with a 24–30% relative gain in secure-and-correct generation; used independent analyzers (CodeQL, Bandit) to prevent evaluation leakage.

Built a pipeline that mines AI-generated Python from GitHub, detects CWE weaknesses with CodeQL, and maps them to real-world CVEs with CVSS severity, providing the empirical motivation for the framework.

Designed a full pipeline using Bi-LSTM for speaker diarization and Google Cloud Speech-to-Text for transcription, incorporating voice activity detection, speaker segmentation, and clustering.

Integrated the WebRTC VAD library for detecting speech regions, developed custom code snippets to link VAD with segmentation, and used pyannote-audio embeddings for speaker representation.

Collected and annotated 8 hours of Bangla audio data from YouTube debates and talk shows using ELAN,Audacity, and y2Mate.

Smart Duplicate Detection: Used RAG + LLM technology for accurate duplicate ticket detection.

Ongoing Task Intelligence: Monitors 'In Review' and 'In Progress' tickets with LLM-powered summaries.

Automated Release Management: Generates weekly/monthly release logs automatically.

Quality Assurance: Detects missing ticket details and vague summaries using LLM.

Smart Communication: Identifies unanswered questions in comments using LLM.

Multi-Channel Notifications: Jira comments, Slack messages, and email alerts.

Flexible Configuration: Customizable rules and settings.

Real-time Logs: Advanced task search and monitoring capabilities.

AI-Powered Learning Features: Multi-model AI analysis with OpenAI and Google Gemini.

Contextual Story Generation: Generates engaging stories using vocabulary words in context.

Semantic Similarity: Finds similar words using embeddings and semantic search.

Advanced AI Architecture: LangChain-based prompt engineering with vector database integration.

Custom TSLib Extension: Developed a stock market data loader for time series analysis.

Machine Learning Integration: Implemented data preprocessing for PyTorch and Scikit-learn models.

Developing real-time control interfaces for OSC.no, a Norwegian ocean simulation platform, processing high-frequency data streams via NATS pub/sub for remote equipment operation.

Leveraged Claude Code with agentic workflows, hooks, skills, and MCP integrations to automate repetitive development tasks and streamline engineering pipelines.

Built and scaled subrite.no, a multi-tenant SaaS subscription management platform, as a full-stack engineer from initial development through production, serving around 300,000 users.

Architected an event-driven and scheduled task system for automated email workflows (Nest.js queues), and a content pipeline integrating Sanity CMS with automated type generation, GROQ queries, and templated rendering (MJML, rich text to HTML/PDF).

Optimized data fetching, caching (Next.js, Redis), and media delivery (MUX, Imgix, Next/Image), raising Google Lighthouse scores from 55%→95% (performance) and 85%→100% (SEO).

Integrated tenant applications with Subrite’s OIDC system via NextAuth, implementing secure authentication flows with dynamic tenant-specific redirect and callback URLs; introduced Playwright end-to-end tests into the CI/CD pipeline alongside Jest unit tests to ensure code reliability.

Built a multi-tenant frontend with dynamic tenant-specific custom fields, responsive UIs, and reusable component libraries; optimized backend RESTful APIs and TypeORM SQL queries, improving response times by 1.5x.

Received structured training on Web, HTTP, REST APIs, and software engineering foundations, and implemented these concepts by developing features for Cefalo's internal in-house web platforms.