B.Tech CSM Student | Former Intern – Infosys Springboard 6.0 | Aspire Leadership Fellow & Alumni (2025) | Data Science & ML | AI • Computer Vision • Web Development
Aspiring AI/ML engineer currently pursuing B.Tech in CSM at Vishnu Institute of Technology. Passionate about AI-powered solutions, computer vision, and web development. Experienced in Python, OpenCV, and JavaScript. Eager to contribute to innovative projects and collaborate with like-minded professionals.
Infosys Springboard
Oct 2025 - Jan 2026
Aspire Institute
Aug 2025 - Oct 2025
Completed the Aspire Leaders Program, enhancing leadership, teamwork, and networking skills through global collaboration and community projects.
EISystems Technologies
Jun 2025 - Aug 2025
Completed internship with training in Data Science using Python, gaining practical exposure to data analysis and related concepts.
AICTE (in collaboration with Edunet Foundation & IBM SkillsBuild)
Jun 2025 - Jul 2025
Elevate Labs
May 2025 - Jun 2025 · Bhimavaram, Andhra Pradesh, India
Elevate Labs
May 2025 – Jun 2025
Engineered and optimized supervised learning models using Python; integrated end-to-end machine learning pipelines with real-world datasets. Recognized as Best Performer among a global cohort for technical innovation and problem-solving.
EISystems Technologies
Jun 2025 – Aug 2025
Devised data preprocessing pipelines to clean and analyze large-scale datasets and programmed machine learning models using Scikit-learn for predictive analysis.
Infosys Springboard
2025
Analyzed structured datasets using Python, applying data preprocessing and exploratory data analysis (EDA), and visualized insights to support data-driven decisions.
Oct 2025
B.Tech, AI & ML
2028
CGPA: 9.1
Intermediate, MPC
2024
95.7%
EAMCET 2025 First Phase Counseling – Andhra Pradesh Excited to share my project where I analyzed EAMCET 2025 first phase counseling data and built a dashboard to visualize student allotments across colleges. Analyzed Top 5000 ranks and their college allotments Visualized branch-wise and category-wise trends
AI-powered campus monitoring system. The goal was simple yet impactful — to analyze live video feeds, count people, and provide real-time insights through an interactive web dashboard
Designed a Tableau dashboard that transforms HR data into actionable insights, analyzing employee demographics, departmental spread, and salary trends across locations.
Developed a computer vision–based project that extracts 33 human pose keypoints from video using MediaPipe, stores them in a structured .txt file, and uses Unity (C#) to simulate and animate a stickman by mapping joints and connections from the stored pose data.
Built a real-time computer vision system using YOLOv8 and OpenCV to detect, track, and count people moving upward and downward on escalators, optimized for low-latency performance on resource-constrained systems.
Created a computer vision system that uses YOLOv8 for object detection and OpenCV for real-time processing to count vehicles within defined road regions, providing reliable traffic insights for smart city applications.
Collaborated in a cross-functional team to architect an end-to-end monitoring system using YOLOv8 and SORT. Engineered a low-latency AI pipeline using FastAPI and WebSockets to stream MJPEG live video and metrics, and integrated Cloudflare Tunnels for secure remote accessibility.
Developed a computer vision system that converts real-world human motion into animated stick-figure skeletons using pose estimation. Used MediaPipe pose landmarks to extract 3D body keypoints and reconstruct motion dynamics frame-by-frame.
Developed a real-time computer vision pipeline using YOLOv8-Nano to detect and track passengers in escalator streams. Implemented centroid-based tracking with a virtual counting line for dual-direction passenger flow analysis and a low-latency OpenCV video processing pipeline.