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Swish | IIT Kharagpur ’2025
Versatile engineer with a strong foundation in both machine learning and software development. Experienced in designing and deploying scalable AI-powered applications across multiple startups, I have built intelligent chatbots, end-to-end data pipelines, and advanced agentic RAG frameworks for real-time analytics and ad policy compliance. My track record includes developing and shipping full-stack products using modern frameworks, containerization, and cloud platforms (AWS, GCP), alongside hands-on implementation of NL2SQL systems, multimodal information extraction, and large language model fine-tuning. I thrive on solving complex algorithmic challenges, optimizing models for real-world use, and collaborating in dynamic, fast-paced environments. Skilled in Python, C++, SQL, JavaScript, and more, I am passionate about both system design and pushing the boundaries of ML applications.
Indian Institute of Technology, Kharagpur
Master's degree
December 1, 2020 – May 1, 2025
Swish
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July 1, 2025 – Present
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Cultural Fit Analysis
The candidate has a strong academic and research-oriented background, with multiple internships at prestigious AI institutes and universities. This indicates a strong drive for learning and contribution to cutting-edge ML fields. The variety of projects (recommender systems, NLP, computer vision, multimodal AI) suggests a broad interest in ML applications. However, the experience is heavily skewed towards research and internships, with limited full-time industry experience, which might require adjustment to a fast-paced product development environment. The target role of ML Engineer aligns well with the candidate's technical skills and interests.
Soft Skills & Operational Fit
The candidate's experience as a Student Placement Coordinator suggests organizational and communication skills. The diverse internship experiences indicate adaptability and a proactive learning attitude. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.