Highly accomplished B.Tech student specializing in AI, Machine Learning, and Data Engineering, with a proven track record of optimizing data pipelines, automating complex processes, and developing innovative AI solutions. Adept at leveraging advanced technologies like NLP, Computer Vision, and cloud platforms (AWS) to drive significant efficiency gains and deliver high-impact technical outcomes across diverse research and industry settings.
Integration Engineer Intern
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Summary
Optimized data integration and automation processes for GST/TDS, significantly reducing processing and deployment times while enhancing data quality.
Highlights
Spearheaded the adaptation of SAP ABAP logic into modular DBT models, achieving a 95% reduction in GST/TDS integration time.
Developed Python backend scripts to validate GST filing data, decreasing manual QA time by 40%.
Automated GST filing by transforming Oracle(EBS) ERP data using SQL and DBT, leading to a 70% reduction in manual effort.
Streamlined CI/CD pipelines by integrating validation modules via GitHub Actions, cutting deployment time by 50%.
Research Intern
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Summary
Contributed to the development and validation of an NLP pipeline for educational assessments, leveraging advanced AI models to enhance content generation and evaluation.
Highlights
Optimized RoboTutor's NLP pipeline to enhance scripted assessments, improving educational content for marginalized children.
Validated the Neural Symbolic Parser (NSP) as a proxy for human-like reasoning, achieving 88% accuracy with ChatGPT-4o for English.
Automated NSP JSON generation for 100+ stories using Python and Translate API, effectively handling complex edge cases.
Evaluated ChatGPT-4o's comprehension by testing over 12,000 NSP questions across two languages using the OpenAI API.
Research Intern
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Summary
Drove AI-driven analytics and content moderation initiatives, automating reporting and enhancing user engagement through innovative solutions.
Highlights
Automated report generation using Pandas and ReportLab, reducing Mixpanel analysis time by 80%.
Designed PowerBI dashboards to track over 4,000 clicks, revealing key subject-wise engagement and retention patterns.
Implemented real-time content moderation by deploying AWS Comprehend and Rekognition pipelines, ensuring safety and compliance.
Integrated MuseTalk for real-time lip-sync capabilities into chatbots, significantly enhancing engagement via video responses.
Researched and applied PandasAI and SteveAI to advance AI-driven analytics and video automation workflows.
AI Engineering Intern
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Summary
Developed and deployed advanced AI and Computer Vision solutions, optimizing 3D modeling, document processing, and voice command systems for logistics and inspection.
Highlights
Constructed a NeRF-based 3D pipeline utilizing NVIDIA Instant-NGP for virtual and remote warehouse inspections.
Developed and deployed YOLOv5-based APIs on AWS EC2, automating document extraction and reducing manual effort.
Fine-tuned the Gemini API for precise JSON extraction from packing list images, significantly boosting data accuracy in logistics.
Integrated Wit.ai with custom intents for voice commands, improving recognition and user interaction by 91%.
Fundraiser
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Summary
Led fundraising efforts for soldier rehabilitation, demonstrating strong organizational and community engagement skills.
Highlights
Raised over 90 Lakhs INR (approx. $100,000+) for the rehabilitation of soldiers affected by the Pulwama terror attack.
Volunteer
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Summary
Contributed to community development by improving sanitation infrastructure for underprivileged children.
Highlights
Helped build essential sanitation facilities for underprivileged children in a local government school.
Cadet
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Summary
Participated in national events as an NCC Cadet, demonstrating discipline and leadership.
Highlights
Selected to march on the Rajpath during India's Republic Day celebrations, showcasing national pride and discipline.
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B.Tech
Computer Science Engineering
Grade: 8.88 / 10.00 CGPA
Courses
Software Engineering
Machine Learning
Natural Language Processing
Deep Learning
Data Science
Computer Vision
Artificial Intelligence
Database Management Systems
Data Structures and Algorithms
Awarded By
AAAI
Awarded for presenting published research at the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI'25).
Awarded By
Vellore Institute of Technology
Recognized for outstanding academic excellence and consistent high performance during academic years 2016-2019.
Published by
The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI'25)
Summary
Student abstract presented at the AAAI Conference on Artificial Intelligence, focusing on evaluating text comprehension using next sentence prediction in large language models.
Python, SQL, C++, Java, R.
TensorFlow, Keras, PyTorch, Hugging Face Transformers, Langchain, Scikit-learn, OpenCV, YOLOv5, Pandas, NumPy, PySpark, DBT.
FastAPI, Flask, AWS, REST APIs, JSON, XML, Git, GitHub Actions, Boto3, Tesseract.
PowerBI, Mixpanel, ReportLab, Matplotlib.