FULL STACK EDTECH PLATFORM
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Summary
Developed a comprehensive MERN stack EdTech platform with robust features for user management, content delivery, and payment processing.
About
Highly skilled and results-oriented AI/ML Engineer and Full Stack Developer with a Bachelor of Technology in Mechanical Engineering and a Minor in Artificial Intelligence & Data Science from the Indian Institute of Technology Bombay. Proven ability to optimize data pipelines, develop robust AI models, and build scalable web applications. Experienced in leveraging advanced techniques in LLMs, data compression, and image classification, with a strong foundation in MERN stack development, cloud platforms, and data analysis tools. Recognized for problem-solving, collaborative leadership, and driving efficiency improvements in complex technical environments. Achieved AIR 2180 out of 0.15M candidates in JEE Advanced 2020 and 99.55 percentile out of 1.2M candidates in JEE Main 2020.
Work
AMERICAN EXPRESS
|Analyst - Risk Management
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Summary
Contributed to risk management initiatives within a global financial services leader, focusing on AML model enhancements and data analysis.
Highlights
Accelerated User Acceptance Testing (UAT) for over 5 derived variables by interpreting JIRA documentation, enhancing AML model capabilities.
Optimized UK Merchant Collusion detection pipeline code, significantly improving processing efficiency for over 3 million customers.
Conducted in-depth data analysis using SQL and Python on large datasets in Hive and BigQuery to inform and refine financial crime AI models.
INTERGLOBE AVIATION LIMITED
|Graduate Engineer Trainee - Digitization and Process Enhancement
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Summary
Drove digitization and process enhancement initiatives, leveraging AI and data visualization to improve operational efficiency.
Highlights
Applied advanced LLM techniques, including semantic and recursive chunking with LangChain, to process over 100 large documents, significantly improving information retrieval and response accuracy.
Rigorously tested a chatbot across 50+ documents, achieving high response accuracy for over 1,000 users and saving 10% in man-hours by enhancing OTP processes.
Developed multiple Power BI dashboards for critical business KPI visualization, reducing manual reporting efforts by over 10 hours per week.
Recognized as a 6e Fab Debutant (top 5 out of 100+ new joiners) for exemplary performance, awarded by the SVP.
TRANSUNION CIBIL
|Information Technology Intern
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Summary
Contributed to data compression and file management projects, optimizing storage and transfer efficiency.
Highlights
Implemented the Brotli algorithm to compress TUDF files, achieving over 30% data compression without any loss.
Developed a proof-of-concept for file compression, demonstrating a 25-30% improvement in compression size compared to the previous algorithm.
Researched and developed a robust lossless file compression technique optimized for managing over 70 TB of data.
Education
INDIAN INSTITUTE OF TECHNOLOGY BOMBAY
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Bachelor of Technology
Mechanical Engineering
Grade: 8.43/10.0 CPI
Courses
Artificial Intelligence & Data Science (Minor)
H.A.L. VIDYALAYA KANPUR
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Intermediate of Science (CBSE)
Science
Grade: 94% Aggregate; 99/100 in Mathematics; 90+ in 5/5 subjects
Languages
English
Fluent
Hindi
Native
Certificates
Machine Learning Specialization
Issued By
Coursera
Deep Learning Specialization
Issued By
Coursera
Skills
Programming Languages
Python, JavaScript, C++, TypeScript.
Web Development
MongoDB, Express.js, React.js, Node.js, HTML, Tailwind CSS, Redux, Mongoose, Jest, REST APIs, MVC Architecture, JWT Auth.
Data Science & Machine Learning
Machine Learning (ML), Deep Learning (DL), Computer Vision, PyTorch, TensorFlow, Scikit-learn (SkLearn), Keras, SQL, BigQuery, Hive, Power BI, Excel.
Tools & Platforms
Git, GitHub, Postman, Docker, Vercel, Render, CI/CD.
Data Structures & Algorithms
DSA.
Soft Skills
Communication, Teamwork, Time Management, Collaboration, Problem Solving, Critical Thinking, Creativity.
Projects
CLASSIFYING LARGE IMAGES WITH TINY OBJECTS
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Summary
Explored and implemented advanced neural network architectures for efficient classification of tiny objects within large images.