About Me

I'm an AI/ML Engineer passionate about developing innovative solutions that blend cutting-edge artificial intelligence with robust engineering principles. My work focuses on computer vision applications and creating accessible technologies that solve real-world problems.

Currently pursuing my B-Tech in Computer Science with a specialization in AI & ML, I'm actively involved in research and development projects that push the boundaries of what's possible with machine learning. I have particular interest in computer vision, predictive analytics, and building intelligent systems that enhance human capabilities.

Beyond academics, I've developed practical experience through various projects including traffic optimization systems, electronic scent detection, and property valuation models. I'm also a licensed drone operator with expertise in UAV development and remote sensing applications.

Education

July 2021 — July 2025
B-Tech in CSE (AI&ML) — TKR College of Engineering & Technology

GPA: 7.18/10

Key Courses: Deep Learning, Computer Vision, Data Structures & Algorithms

June 2019 — June 2021
MPC Course - N120 Batch — Narayana Jr. College

Senior Secondary Education

June 2009 — June 2019
Computer Applications — Hyderabad Public School, Begumpet

Secondary Education

Score: 91%

Skills

Programming Languages

Python Java C C++

AI/ML Frameworks

TensorFlow PyTorch OpenCV YOLO

Additional Skills

UAV Operations Remote Sensing Predictive Analytics Data Visualization

Projects

September 2024 — Present
Adaptive Traffic Optimization

Developing an AI-powered traffic management system that uses real-time data from sensors to optimize signal timings based on live traffic density. The system applies predictive analytics to anticipate congestion and make proactive adjustments, reducing wait times and improving flow. Designed for integration with smart city infrastructure to support scalable, sustainable urban mobility.
View Project on GitHub

Computer Vision IoT Predictive Analytics Smart Cities
September 2024 — February 2025
AI Nose

Built a DIY electronic nose inspired by the human sense of smell, using gas sensors to detect and learn different odors. Collected scent data and trained lightweight machine learning models to recognize and classify smells. The system can be customized for various real-world applications like food freshness, air quality, and safety monitoring.
View Project on GitHub

IoT Classification ML Sensor Networks Embedded Systems

Certifications & Achievements

Smart India Hackathon 2024
Ministry of Education, Government of India
Sawit AI Hackathon
Guvi Geek Networks
Drawing with LLMs and Lux AI Challenge
Featured Simulation Competition - Kaggle
Programming Using Python
Infosys Springboard
Advanced Software Engineering Job Simulation
Walmart USA
DGCA Remote Pilot Certification
Licensed Drone Operator
CUAV Tech Inc. Sponsorship Recipient
UAV Development
NRSC ISRO Drone Data Processing Certificate
Remote Sensing Applications