About
High-achieving B.Tech Computer Science and Engineering undergraduate specializing in advanced AI/ML, data-driven systems, and trustworthy AI, recognized as an MLH Top 50 Global Hacker and AWS AI/ML Scholar. Proven innovator with expertise in developing CNN-based image classification models (reducing training time by 40%), optimizing algorithms for 17% increased accuracy, and engineering LLM prompt systems for 35% higher response accuracy. Eager to leverage strong technical skills and policy insights to drive impactful AI solutions in a research or development role.
Work
Remote, Mumbai, India
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Summary
Engineered and optimized LLM prompt systems to enhance accuracy and efficiency for AI agents.
Highlights
Engineered LLM prompt systems using structured and algorithmic approaches, improving agent response accuracy by 35%.
Designed scalable prompt templates and developed testing frameworks, enhancing system efficiency by 30%.
Udacity (Accenture)
|AI/ML Research Intern (Scholar)
Remote, Settle, US
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Summary
Led research and development of AI/ML solutions, focusing on model optimization and deployment efficiency.
Highlights
Developed and trained CNN-based image classification models using PyTorch with CUDA, reducing training time by 40%.
Implemented algorithmic and data structure optimizations, increasing model accuracy by 17% through systematic parameter tuning.
Contributed to AI solution design, improving deployment efficiency by 25%.
Volunteer
AWS
|Cloud Captain
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Summary
Led a technical community of 50+ members and delivered workshops on cloud computing and AI tools.
Highlights
Led a technical community of 50+ members, fostering collaboration and knowledge sharing.
Delivered workshops on cloud computing and AI tools, enhancing members' technical proficiency.
Microsoft Learn
|Student Ambassador Event Host
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Summary
Hosted events as a Microsoft Learn Student Ambassador, engaging with student communities to foster technical learning.
Highlights
Organized and facilitated events to promote Microsoft Learn resources and technologies among students.
Engaged with student communities to foster learning and skill development in technical domains.
Independent
|Community Builder and Content Creator
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Summary
Authored newsletters, technical articles, and podcasts for a learning community of 60+ members.
Highlights
Authored newsletters, technical articles, and podcasts for a learning community of 60+ members across platforms like Substack, Medium, and YouTube.
Fostered engagement and knowledge dissemination within the AI/ML community.
Education
Galgotias University
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B.Tech
Computer Science and Engineering
Grade: 8.4/10
Courses
Machine Learning
Deep Learning
Data Structures and Algorithms
Distributed Systems
Cloud Computing
AI Systems
Awards
Top 10 Finalist, Google Build with India Hackathon
Awarded By
Achieved a top 10 finalist position in a national hackathon, demonstrating innovation and technical skill.
PAN India Hackathon Champion; Winner Dexterix Hackathon (INR21K)
Awarded By
Dexterix Hackathon
Crowned champion of the Dexterix Hackathon, a PAN India event, with a prize of INR 21K.
Certificates
Oracle Cloud Infrastructure Certified Generative AI Professional
Issued By
Oracle
5-Day AI Agents Intensive Course with Google - Kaggle
Issued By
Google - Kaggle
AIS Collab Summer Governance
Issued By
AIS Collab
Cloud Native & Application Performance Automation
Issued By
N/A
AWS Academy Cloud Architecting
Issued By
AWS Academy
AWS Academy Data Engineering
Issued By
AWS Academy
Postman API Fundamentals Student Expert
Issued By
Postman
Skills
Programming Languages
Python, JavaScript, C++, Java, SQL.
AI/ML
Machine Learning, Deep Learning, NLP, LLMs, PyTorch, Model Evaluation.
Data & Systems
Pandas, NumPy, PostgreSQL, MongoDB, Distributed Systems.
Tools & Platforms
Docker, Kubernetes, AWS (EC2, S3), Git, FastAPI.
Interests
AI/ML Research
Machine Learning Foundations, Representation Learning, Trustworthy AI, Data-Driven Decision Systems, Applied Deep Learning, Scalable AI Systems.
Mechanistic Intrepretability
circuit analysis, feature attribution, neuron-level analysis, model transparency.
Data-Driven Decision Systems
time-series forecasting, decision intelligence, optimization, real-time systems.
Trustworthy & Responsible AI
AI safety, bias & fairness, evaluation frameworks, alignment.
Machine Learning Foundations
feature learning, embedding spaces, generalization, model interpretability.
Scalable AI Systems & Infrastructure
distributed training, model optimization, GPU/ROCm systems, inference efficiency.
Projects
Navida
Unleash Meta AI Hackathon
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Summary
AI-powered platform designed to help Indian citizens discover, understand, and access government welfare schemes without confusion, language barriers, or dependency on intermediaries. A deterministic eligibility engine, and open-source LLMs to deliver accurate, explainable & accessible guidance.