Headline

AI/ML Developer | Computer Vision · Deep Learning | Open to Internships

About

I build AI systems that work in the real world — not just in notebooks. I'm a final-year Computer Science student at RGUKT Ongole (CGPA: 9.3/10) with two industry internships and hands-on project experience across computer vision and deep learning. My citrus disease detection project showed that thoughtful feature engineering (HSV + GLCM + LBP + Random Forest) can outperform deep learning on small agricultural datasets — achieving 92% accuracy on 2,027 real-world images. It's live at: https://citrus-disease-detection-cr6iiqj3enapgoqbucckpg.streamlit.app/ At Infosys Springboard, I built a satellite image analysis pipeline processing 10,000+ drone images across 500 sq. km of archaeological sites — achieving 87% IoU with U-Net and DeepLabV3+, outperforming the baseline by 22%. At UptoSkills, I worked on a real-time CCTV chain-snatching detection system. I annotated video frame datasets and built/trained an RGB CNN model for detection. Given the computational demands of running high-complexity models in real time, our team designed and proposed a full pipeline approach — YOLO + ByteTrack for detection/tracking, with a strategy for latency optimization via quantization and pruning — as Co-Team Leader guiding technical direction. Beyond AI, I've built EVEN'Z, a full-stack event management platform (HTML/CSS/JS frontend, Node.js backend, Oracle DB) supporting event creation, registration, and transaction handling. 🔧 Core stack: Python · PyTorch · TensorFlow · OpenCV · YOLO · U-Net · DeepLabV3+ · scikit-learn · Node.js · SQL · Streamlit · GeoPandas 🏅 NPTEL Elite + Topper (Top 2%) — Cloud Computing | HackerRank SQL (Basic + Intermediate + Advanced) | IBM Data Analysis | 18 certifications total 📍 Based in Visakhapatnam | Open to AI/ML · Computer Vision internships (Remote / Andhra Pradesh / Telangana) 📩 Let's connect — DM me or reach out at jhasujamisetty@gmail.com Portfolio: https://jhasu0202.github.io/jhasu0202.github.io-portfolio/

Location

Greater Visakhapatnam Area

AI stack

antigravity

codex

opencode

Work experience

Volunteer at Helping Hands Organization (HHO) - RGUKT Ongole, Jun 2023 - Present · 3 yrs 3 mos, Ongole

Volunteer at NSS UPES, Jun 2023 - Present · 3 yrs 3 mos, Ongole

Deep Learning Specialist at UptoSkills, Nov 2025 - Jan 2026 · 3 mos, Architected real-time chain-snatching detection system using YOLO + ByteTrack achieving 95% detection accuracy at 30 FPS on live CCTV surveillance feeds Optimized deep learning inference pipeline from 150ms → 90ms per frame via model quantization and pruning — a 40% latency reduction Implemented Social Force Method for pedestrian motion analysis achieving 88% accuracy with 40% fewer false alarms; preprocessed and augmented 50,000+ annotated video frames increasing dataset diversity by 300%

Intern at Infosys Springboard, Oct 2025 - Dec 2025 · 3 mos, Built end-to-end archaeological site mapping pipeline processing 10,000+ satellite and drone images across 15 sites covering 500 sq. km Achieved 87% IoU for ruin detection using U-Net and DeepLabV3+ — outperforming baseline by 22%; trained YOLOv5 and Faster R-CNN for artifact detection across 25 categories at 85% mAP Created interactive geospatial dashboard (Streamlit + GeoPandas) reducing manual analysis time by 60%; ran hyperparameter optimization across 100+ configurations improving accuracy by 12%

Campus Mantri at GeeksforGeeks, Jun 2025 - Jun 2026 · 1 yr 1 mo, India

Education

Bachelor of Technology - BTech, Computer Science, RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES, ONGOLE

Pre university course, Mpc, RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES, ONGOLE

Public links

github: https://github.com/jhasu0202