Highly motivated Computer Science Engineering student and ML Research Intern with a strong foundation in AI/ML, full-stack development, and cloud architectures. Proven ability to develop and deploy scalable solutions, conduct in-depth data analysis, and lead technical initiatives, seeking to leverage expertise in cutting-edge technologies to drive impactful innovation in dynamic tech environments.
Pune, Maharashtra, India
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Summary
Developed and deployed machine learning models to predict financial transactions, designing robust AML solutions to ensure regulatory compliance and enhance data security.
Highlights
Developed advanced ML models using Python, TensorFlow, and Scikit-learn to predict financial transactions with high accuracy.
Designed comprehensive Anti-Money Laundering (AML) solutions, ensuring stringent regulatory compliance and enhancing financial security protocols.
Contributed to a published research paper on AI/ML advancements in anti-money laundering, showcasing expertise in financial data analysis and model development.
Head of Artificial Intelligence
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Summary
Led a team of 15+ students, mentoring juniors in backend development and organizing impactful workshops on API design.
Highlights
Led and mentored a team of 15+ students, fostering skill development in backend development and project execution.
Organized and conducted workshops on API design, impacting over 50 students and enhancing their practical technical skills.
Technical Executive & Blockchain Co-Head
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Summary
Coordinated major events and hackathons, spearheaded blockchain initiatives, and enhanced leadership and project management skills.
Highlights
Coordinated and executed events and hackathons, driving active participation from over 100 students.
Spearheaded key blockchain initiatives, contributing to the club's technical roadmap and community engagement.
Enhanced leadership and project management skills through successful event planning and execution.
Awarded By
IIIT-Pune
Secured 1st place among 30+ competing teams by developing an innovative solution for Nifty50/forex prediction and sentiment analysis, demonstrating strong data analysis, statistical modeling, and teamwork.
Published by
SCAAI (Symbiosis Center of Applied AI)
Summary
Authored and published a research paper during an internship, demonstrating expertise in financial data analysis, ML model development, and regulatory compliance, while enhancing communication skills.
Python, FastAPI, Flask, TensorFlow, Keras, Scikit-learn, C++, JavaScript, TypeScript, HTML/CSS, Shell Script, SQL, React, Node.js, Next.js.
Docker, Git, GitHub, VS Code, CI/CD (GitHub Actions).
AWS, GCP, Cloudflare Workers (serverless), Cloudflare R2, NoSQL, MongoDB, Firebase, PostgreSQL, MySQL, Redis.
Web Design and Development, Cloud Architectures, Data Analysis, Linux, Statistics, Machine Learning, Deep Learning, Cybersecurity, HR Analytics.
Problem-solving, Decision making, Leadership, Agile, Teamwork, Project Management.