I am a Software Development Engineer and researcher based in India. I am currently pursuing a B.Tech in Information and Communication Technology at Pandit Deendayal Energy University, maintaining a CGPA of 9.59. My passion lies in building scalable web applications and solving complex problems using Machine Learning and Computer Vision.
I am currently working as an SDET Intern at Fynd. Previously, I interned at the Indian Space Research Organisation (ISRO) as a Machine Learning Researcher, where I improved lightning prediction model accuracy by 24%. I also have experience as a Software Engineer Intern at the Deepak Foundation, where I built automated data pipelines.
Beyond coding, I served as the Vice President of the GeeksForGeeks PDEU Chapter, mentoring over 100 students. I am an active researcher with work published in IEEE SETCOM 2025 and papers submitted to Elsevier and IEEE ICVES.
Languages: Python, Java, JavaScript, SQL, Bash
Web Development: React.js, Node.js, Express.js, MongoDB, Flask, Django, RESTful APIs
Machine Learning: TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Pandas, NumPy
Tools & Platforms: Git, GitHub, Docker, AWS, Firebase, CI/CD, Unix/Linux
- SDET Intern at Fynd (Current) Machine Learning Research Intern at ISRO (May 2025 - Jul 2025)
- Analyzed atmospheric parameters to improve lightning prediction and automated data ingestion pipelines. Software Engineer Intern at Deepak Foundation (Jun 2023 - Jul 2023)
- Built automated Python pipelines for data visualization and reporting.
Empty Room: A classroom finder web app with 500+ monthly users that reduced scheduling conflicts by 60%.
Intelligent Traffic Signal System: A real-time vehicle density detector using OpenCV that reduced simulated wait times by 35%.
- Research: AutoCAS: Automated Classroom Attendance System (IEEE SETCOM 2025). Space Weather Forecasting: Peer-reviewed journal paper submitted to Elsevier.
- Email: prayagatwork1@gmail.com | LinkedIn: prayagthaker | GitHub: prayagatwork
