About
Highly motivated Computer Science graduate specializing in AI/ML and full-stack development, adept at leveraging advanced algorithms and robust web architectures to solve complex problems. Proven ability to design, develop, and deploy scalable applications, optimize data processing, and drive impactful results, including achieving an 18% portfolio return and low MSE in AI models.
Work
Automated Essay Scoring System
|Full-Stack AI/ML Developer
Mysuru, Karnataka, India
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Summary
Led full-stack development and AI/ML model integration for an essay evaluation platform, significantly enhancing scoring accuracy and efficiency.
Highlights
Engineered a cloud-ready full-stack web application for automated essay evaluation, utilizing React for frontend and Flask for backend with integrated database.
Developed scalable, modular, and secure REST APIs, facilitating seamless frontend-backend integration for robust application performance.
Collaborated within a 4-member agile team, conducting rigorous code reviews and testing to drive iterative model improvements.
Implemented advanced AI models (LSTM, Random Forest, SVM) for essay scoring, achieving a low Mean Squared Error (MSE) of 2.64 and demonstrating strong AI/ML algorithm proficiency.
Analyzed model performance, achieving an MSE of 3.19 and RMSE of 1.78, and identified key areas for further optimization based on baseline model comparisons.
Neural Network-Driven Protein Structure Modeling
|Full-Stack AI/ML Engineer
Mysuru, Karnataka, India
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Summary
Developed a full-stack web application for protein structure prediction, optimizing data handling and integrating complex neural network models.
Highlights
Architected and developed a full-stack web application for protein structure prediction, leveraging React, Node.js/Express, and Firebase for robust data management and user authentication.
Utilized specialized Python libraries including h5py, peptidebuilder, and matplotlib to enable efficient data handling, complex model building, and insightful visualization.
Seamlessly integrated REST APIs to facilitate efficient communication across frontend, backend, and Python-based computational services.
Managed and optimized large biological datasets from ProteinNet, enhancing H5 file storage efficiency for accelerated training and testing phases.
Strengthened expertise in application deployment, scalable data management, AI/ML fundamentals, and collaborative cross-functional teamwork.
Portfolio Optimization
|Quantitative Analyst / Data Scientist
Mysuru, Karnataka, India
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Summary
Designed and implemented a data-driven portfolio optimization model, achieving a 18% return and a Sharpe ratio of 0.89 through advanced financial analysis.
Highlights
Engineered a sophisticated portfolio optimization model, incorporating covariance matrix analysis and real-time constraints, which yielded an impressive 18% return and a Sharpe ratio of 0.89.
Visualized portfolio distributions using Monte Carlo simulation and developed comprehensive stock analysis scripts, including candlestick patterns, RSI, and Bollinger Bands.
Volunteer
Google Developer Student Clubs
|Organizer
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Summary
Successfully orchestrated the Google Developer Student Clubs (GDSC) hackathon, ensuring seamless coordination among participants, judges, and mentors.
Highlights
Successfully orchestrated the Google Developer Student Clubs (GDSC) hackathon, ensuring seamless coordination between over 100 participants, judges, and mentors.
Education
JSS Science and Technology University (formerly SJCE)
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Bachelor of Engineering
Computer Science
Courses
Operating Systems
Artificial Intelligence
Machine Learning
Databases
Vidya Vikas Polytechnic
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Diploma
Computer Science
Courses
Data Structures
Analysis and Design Of Algorithms
Networking
OOPS
Certificates
Supervised Machine Learning: Regression and Classification
Issued By
Deep Learning.ai
Internship program in Python
Issued By
Codsoft
Skills
Languages
Python, C.
Frameworks
React.js, Flask.
Web Technologies
HTML5, CSS3, REST APIs.
Database Management
MySQL, SQL Queries, Stored Procedures, Functions.
Tools
Git, Matplotlib.
Soft Skills
Attention-to-detail, Process Improvement, Collaboration.
Software Development Practices
Event-driven design, Unit Testing, Debugging Practices.