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AI/ML engineer in training focused on machine learning, distributed systems, and full-stack development, with experience spanning research, product development, and real-world deployments.
I am an Artificial Intelligence & Machine Learning undergraduate at Chaitanya Bharathi Institute of Technology (CBIT) with a strong interest in building intelligent systems, full-stack applications, and research-driven solutions that solve real-world problems.
My journey in technology began with curiosity and has evolved into a passion for transforming ideas into impactful products. Over the years, I have worked on projects spanning machine learning, computer vision, natural language processing, and web development, while continuously exploring how technology can create meaningful value.
Beyond academics, I have had the opportunity to lead teams, organize technical initiatives, and contribute to innovation-focused communities as Vice President of the Robotics & Innovation Club at CBIT. My experiences in NCC and student leadership have helped shape my discipline, adaptability, and collaborative mindset.
I believe growth happens quietly through consistent effort, learning, and perseverance. A philosophy that resonates deeply with me is:
"Bide your time. Hide your strength."
To me, it is a reminder to focus on preparation, continuous improvement, and letting results speak louder than words.
When I'm not building projects or exploring emerging technologies, you'll find me learning new concepts, contributing to technical communities, or working on ideas that push me beyond my comfort zone.
CBIT Hyderabad
AI & ML Engineering
CGPA: 9.12
B.Tech in Artificial Intelligence & Machine Learning
2023 – 2027
CGPA: 9.12
Hyderabad, India
Intermediate Education (MPC)
2021 – 2023
Score: 981/1000
Hyderabad, India
Intelligent fashion platform with size estimation using MediaPipe Pose, color analysis with ResNet50, virtual wardrobe, and weather-based outfit suggestions.
Paper presented at ICAIATI‑2025 (under publication)
Multimodal VQA for pathology images using CNN encoders, attention mechanisms, and bilinear fusion – achieved 60.39% exact‑match accuracy.
Amazon Web Services
Salesforce (2025)
1(T) Naval Unit, Hyderabad
2018 - 2022Robotics & Innovation Club, CBIT
June 2024 - Feb 2026CBIT Hacktoberfest Hackathon 2025 – Recognized among 500+ teams for building a collaborative coding interview platform.
24-hour virtual hackathon