Contributed to frontend development using AngularJS, HTML and CSS3, with hands-on experience in Linux, Java and JavaScript; collaborated across teams to deliver scalable web applications.

Software Engineer Intern at Intel Technology India Pvt Ltd

June 20, 2019 - June 20, 2019

Led UI/UX and end-to-end development from requirements to deployment in an agile setup; built a hotel booking platform using Django, Django REST Framework, Docker and PostgreSQL; delivered REST APIs and admin dashboards.

Senior Software Engineer at Infosys Pvt Ltd

November 1, 2019 - February 1, 2022

Enhanced database performance and ETL workflows through advanced SQL optimization and data pipeline debugging. Built and optimized backend services with Django, MySQL and RESTful APIs for data processing. Automated CI/CD pipelines using GitHub Actions and Jenkins, improving deployment reliability. Contributed to frontend development using AngularJS, HTML and CSS, with hands-on experience in Linux, Java and JavaScript. Led and supported front-end development across multiple projects. Also engaged in Taylor Shift attention to image super-resolution projects, vision transformers SwinIR, and hotel booking platform prototypes with Docker and REST APIs. Containerized and deployed applications with Docker, ensuring modularity, environment consistency and scalable architecture. Led UI/UX end-to-end development from requirements to deployment in an agile setup.

Research Assistant - Speech and Language Technology at German Research Center for Artificial Intelligence (DFKI)

April 1, 2022 - Present

Project: Hivemind [EU-funded]. Built Prefect-orchestrated pipelines on AWS S3 using an LLM-based multi-label classifier to outline and tag documents for 8 SDLC AI agents. Developed a vector data pipeline that extracts text, creates chunks, generates embeddings and stores them in Milvus vector DB for retrieval-based AI workflows.

Research Engineer - Carve-DL at German Research Center for Artificial Intelligence (DFKI)

June 1, 2023 - November 20, 2025

Project: Carve-DL. Delivered AI-driven file fragment recovery for digital forensics, building multi-class / multi-label PyTorch Lightning models achieving ~90% accuracy on corrupted image reconstruction. Built scalable Kedro pipelines integrating multiple ML models into a unified workflow, applying MLOps practices for modularity and traceability.

Research Engineer - End-to-End Model Integration at DFKI Berlin Office

December 1, 2025 - Present

Present Berlin, Germany. Implemented a training pipeline to classify code/text documents, verify code compilation, deduplicated data with Data Trove and generate QA pairs for LLM fine-tuning. Designed metadata-driven processing across pipelines to ensure traceability, structured storage and scalable data handling.