AI Engineer with less than a year in Deep Learning & Full-Stack Development
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B.E. graduate in AI & ML from DSATM, VTU (CGPA: 8.43/10). Experienced in deep learning model development, REST API deployment, and full-stack web development. Completed AI/ML internship at Infosys Springboard, building production-grade dashboards and integrating APIs within an Agile team. Skilled in Python, Java, React.js, FastAPI, and LSTM/GRU-based ML systems. Adept at translating complex data into actionable insights through scalable UI and backend solutions. Proven ability to lead cross-functional teams and deliver end-to-end AI-driven products. Actively seeking a Software Engineer, ML Engineer, or AI Developer role.
DSATM, VTU
B.E. · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
DPUE Karnataka
PUC (PCMB)
N/A – May 31, 2022
NCERT-KSEEB Karnataka
SSLC
N/A – May 31, 2020
Infosys Springboard
AI / ML Intern
October 1, 2024 – December 1, 2024
India
Hybrid Deep Learning Model - Stock Market Prediction
August 1, 2025 – January 1, 2026
Engineered a hybrid LSTM-GRU deep learning model to predict stock prices from historical market data; implemented advanced risk metrics including VaR, volatility tracking, and drawdown analysis to support informed investment decisions. Deployed a fully integrated end-to-end system using a FastAPI backend and real-time ReactJS dashboard, enabling interactive visualization of predictions, risk indicators, and market trends.
NASA Space Apps Challenge - Orrery Web App
October 1, 2024 – October 1, 2024
Built a responsive Near-Earth Object (NEO) visualization web app with dynamic orbital simulations for the NASA Space Apps Challenge 2024, competing among thousands of global teams with an interactive astronomy tool.
Food Waste Optimization System
August 1, 2024 – October 1, 2024
Led a team of 4 to build an ML-powered food waste prediction platform; designed an intuitive Streamlit UI for real-time ML insights, managed task allocation, and ensured timely sprint deliverables with full accessibility compliance.
Library Management System
January 1, 2023 – March 1, 2023
Designed and developed user-friendly frontend pages for book search, user authentication, and dashboard analytics, applying clean UI principles and semantic HTML for improved accessibility and maintainability.
Artificial Intelligence
Unknown
June 1, 2026 – Present
Data Science
Unknown
June 1, 2026 – Present
Cybersecurity
Unknown
June 1, 2026 – Present
Frontend Web Development
Unknown
June 1, 2026 – Present
NASA Space Apps Challenge 2024 - Participant, Global Hackathon (Built NEO Orrery Web App)
NASA Space Apps Challenge
January 1, 2024 – Present
AI & Machine Learning Internship Completion Certificate
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and participation in hackathons like NASA Space Apps Challenge show a proactive and curious mindset. Their involvement in community programs (Way for Life) suggests a well-rounded individual. The diversity of projects, from financial prediction to space visualization and waste optimization, indicates adaptability and a broad interest in applying AI/ML to various domains, aligning well with an innovative culture.
Soft Skills & Operational Fit
The candidate demonstrates good project leadership and collaboration skills, as seen in the 'Food Waste Optimization System' and Infosys internship. Their participation in the NASA Space Apps Challenge indicates initiative and problem-solving abilities. The ability to work in Agile/Scrum teams suggests good operational fit for structured development environments.