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.

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.

Worked from scratch in an Oslo-based startup environment as a full-stack engineer to build and scale Subrite, a multi-tenant SaaS subscription management platform also contributing to the development of tenant projects, actively following Agile methodologies and the full software development life cycle (SDLC).

Architected email automation functions using Nest.js event queue system to handle both scheduled and event-driven tasks, serving around 300,000 users across Scandinavia.

Optimized web performance by implementing efficient data fetching and caching strategies incorporating Next.Js and Redis, improving overall page load performance from 55% to 95% and SEO from 85% to 100% (Google Lighthouse metrics).

Designed responsive email templates using MJML; implemented rich text rendering to generate parsable HTML and PDF content; developed on-the-fly PDF generation and optimized media delivery with MUX for video, and Imgix, Next/Image for efficient image rendering.

Worked extensively with the Sanity CMS alongside traditional SQL databases—implemented automated type generation, wrote efficient GROQ queries, and handled diverse content types (icons, rich text, media) to dynamically render them on the frontend.

Integrated an external tenant application with Subrite’s OIDC system using NextAuth, handling secure authentication flows including dynamic redirect and callback URLs to support tenant-specific login and post-login redirection.

Introduced and configured Playwright for end-to-end testing across the system, integrating it into the CI/CD pipeline for automated testing and quality assurance, and wrote unit tests using Jest to ensure code reliability and functionality.

Implemented custom fields integration for a multi-tenant front-end, allowing tenant-specific configurations to be applied dynamically, built responsive UIs, and developed well-maintained, reusable components.

Optimized backend RESTful API performance and fine-tuned TypeORM SQL queries, resulting in a 1.5x improvement in API response times and overall system efficiency.

Gained foundational knowledge of HTTP, HTTPS, Caching, CORS, and REST APIs.

Built an in-house web application with secure authentication, content negotiation, and state management.