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Software Engineer with 1+ years in AI/ML, Python, and Cloud technologies.
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Software Engineer Intern skilled in building and optimizing LLM-powered AI agents, designing prompt engineering strategies, and integrating external APIs for dynamic data retrieval. Experienced in backend development with Python, Java, and C++, focusing on healthcare applications and HIPAA compliance. Proven ability to lead automation efforts, improve system performance, and produce comprehensive technical documentation.
Illinois Institute of Technology
Master of Science · Computer Science
August 1, 2024 – June 30, 2026
Sri Eshwar College of Engineering
Bachelor of Engineering · Computer Science
August 1, 2019 – June 30, 2023
Neural Seek
SOFTWARE ENGINEER INTERN
October 1, 2025 – May 1, 2026
Miami, Florida, United States
Haso Technology
SOFTWARE DEVELOPER ENGINEER
May 1, 2023 – June 1, 2024
Bengaluru, Karnataka, India
AI Powered Health Monitoring System
January 1, 2025 – May 1, 2025
Developed a real-time health monitoring application using Python, TensorFlow, and OpenCV to detect fatigue indicators and estimate heart-related activity from live webcam streams. Implemented computer vision pipelines for facial feature detection and frame-based analysis, applying threshold-based logic and feature extraction techniques for fatigue prediction. Built structured data preprocessing and evaluation workflows, improving detection stability by 18% and reducing false positives in continuous monitoring scenarios. Optimized real-time performance through efficient frame processing, multithreading concepts, and latency reduction strategies to enhance system responsiveness.
AI-Powered Customer Service Platform for New Energy Vehicles
August 1, 2024 – December 1, 2024
Collaborated on an AI consulting project integrating specialized AI agents into enterprise customer service workflows. Developed modules in Python, Flask, LangGraph, and GPT-4, applying LLM model training and NLP for fraud detection, order analysis, and vehicle recommendations. Implemented image recognition, vector search, and SQL/PostgreSQL workflows, reducing manual intervention and boosting accuracy. Produced clear technical documentation and testing notes for smooth integration.
Driver Drowsiness Detection System
January 1, 2023 – May 1, 2023
Designed a safety system in Python, OpenCV, and Dlib to detect fatigue using EAR/MAR-based indicators such as prolonged eye closure and yawning. Integrated Haar cascades, camera stream processing, and real-time alerts mechanisms (buzzer/voice), while optimizing performance with multithreading, frame resizing, and threshold tuning to improve accuracy and system reliability.
HIPAA Compliance Certification
Unknown
June 1, 2026 – Present
FHIR
Unknown
June 1, 2026 – Present
HL7
Unknown
June 1, 2026 – Present
Technical Documentation
Unknown
June 1, 2026 – Present
Cryptography Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experience show a strong interest in AI and machine learning, aligning well with innovative and technology-driven environments. Their experience in both full-time and internship roles, coupled with diverse project types (healthcare, AI customer service, monitoring systems), indicates adaptability and a broad technical curiosity. The certifications in HIPAA, FHIR, and HL7 suggest a commitment to specialized domains and continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project optimizations and efficiency improvements. Their experience in Agile/Scrum teams and technical documentation suggests good collaboration and communication within a development lifecycle. The focus on real-time systems and performance optimization indicates a results-oriented approach.