Years of Experience and Technical Expertise
Data professional with over 2 years of experience specializing in machine learning, deep learning, and large-scale data analysis. Proficient in Python, SQL, C++, TensorFlow, PyTorch, and MLOps tools. Demonstrated expertise in deploying ML models, managing 3+ TB of data, and developing scalable AI solutions for diverse applications.
Educational Background
Graduated with a B.E. in Mathematics and Computing from Delhi Technological University, achieving a CGPA of 8.32/10. Strong foundation in probability, statistics, linear algebra, and computer organization. Accomplished coder with accolades from competitive programming platforms and global coding challenges.
Professional Experience and Contributions
Currently working as a Software Development Engineer at Samsung R&D Institute, focusing on AI-powered solutions such as real-time depth estimation for autonomous driving, immersive XR technologies, and optimization of large language models (LLMs). Previous experience includes advanced time-series forecasting, anomaly detection, and implementing retrieval-augmented generation pipelines for enhanced knowledge management.
Key Projects and Achievements
Delivered high-impact projects including a spam email classifier achieving 99% accuracy and a real-time context retrieval system processing 100 queries per second with a 95% retrieval accuracy. Developed advanced models like Neural Prophet and TCN, reducing forecast error metrics by up to 18%.
Technical Skills and Proficiencies
Skilled in deploying advanced ML and DL models, data visualization (Matplotlib, FAISS), cloud services (AWS, GCP), and optimization techniques. Extensive experience in containerization, CI/CD pipelines, and vector databases for large-scale data systems. Expertise in competitive programming and algorithmic problem-solving, reflected in multiple global rankings.
Certifications and Mentorship
Completed rigorous machine learning and deep learning specializations on Coursera with top scores. Active mentor at Scaler Academy, guiding over 50 students in data science and Python programming with a satisfaction rate of 95%. Regularly contributes to knowledge-sharing through platforms like Medium and GitHub.
