---
title: "Jhasveni Jamisetty - Volunteer in Greater Visakhapatnam Area | Tal"
description: "Meet Jhasveni Jamisetty, AI/ML Developer | Computer Vision · Deep Learning | Open to Internships based in Greater Visakhapatnam Area. AI stack includes antigravity, codex, and opencode. Explore public work links including github."
image: "https://tal.club/meet/jhasveni-jamisetty/share-image"
---

# Jhasveni Jamisetty on Tal

## 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

[View the original profile](https://tal.club/meet/jhasveni-jamisetty)

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