About Me

Uttej Banner

Innovative Software Engineer and Technical Lead specializing in Full Stack Development, Computer Vision, and R&D. Experienced in architecting end-to-end solutions, from high-performance web applications with React and Node.js to autonomous systems using YOLOv8 and OpenCV.

At Avanthi Research Hub, I led cross-departmental initiatives, integrating hardware and scalable software. Passionate about tackling real-world challenges with Python, Cloud Infrastructure (AWS/GCP), and Machine Learning, I combine leadership experience with strong technical curiosity in every project.

I have achieved 1st place in an IIC hackathon, secured 2nd place in Code Debugging, Code Hunting, and Quiz at the Technical Fest, and served as a Senior Software Team Leader at ARH-Avanthi Research Hub and a member of the Institution's Innovation Council (IIC).

Tech Stack

Python
React.js
Node.js
OpenCV
PyTorch
Docker
AWS
Firebase
Flask
Three.js
Python
React.js
Node.js
OpenCV
PyTorch
Docker
AWS
Firebase
Flask
Three.js

Live Coding Activity

Live Contribution Heatmap github.com/MOTURUUTTEJ
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Active Repositories

Recent Commit History

What I'm Doing

  • Web development icon

    Full Stack Development

    Building high-performance web applications with React, Node.js, PHP, and modern frameworks end-to-end.

  • AI icon

    AI & Computer Vision

    Developing autonomous systems with YOLOv8, OpenCV, ML and Deep Learning for real-world applications.

  • Research icon

    Research & Development

    Leading cross-departmental R&D at Avanthi Research Hub — drones, digital twin, and real-time systems.

  • Cloud icon

    Cloud & Automation

    Deploying scalable solutions on AWS, Google Cloud, Firebase with automation tools like n8n and Docker.

Recommendations & Feedback

  • Mr. V. Raju

    Mr. V. Raju

    Asst. Professor, AVEN

    "Uttej demonstrated exceptional leadership and technical ability during the Autonomous Rescue Drone project. His deep understanding of YOLOv8 and computer vision models is rare for an undergraduate."

  • Dr. Prof. S. Pallam Setty

    Dr. Prof. S. Pallam Setty

    Senior Professor, IT Dept., AU

    "Working with Uttej on the DigitalTwin project was fantastic. He quickly adapted to Three.js and Quantum computing concepts, delivering a highly functional 3D rendering pipeline ahead of schedule."

Recommendation & Feedback

Certificate Showcase

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Live AI & Drone Simulation

Move your mouse inside the canvas below to test the Autonomous Rescue Drone tracking & YOLO detection simulator. The mini drone will calculate flight vectors to track your pointer, and the ML visual tracker will output mock bounding box coordinates.

DRONE-SYS: ONLINE
ALT: 45m | BAT: 98%
TARGET: SEARCHING...
V_X: 0.00 | V_Y: 0.00

Resume

Research & Development Experience

  1. Avanthi Research Hub — Senior Member & Software Leader

    2022 — Present

    Established a collaborative cross-departmental research group to solve complex engineering and AI challenges. Led software development, robotics architectures, and R&D projects:

    • 🛸 Autonomous Search-and-Rescue Drone (R&D Lead) Guide: Mr. V. Raju (Asst. Prof., AVEN) | Tech: YOLOv10, OpenCV, Python, Raspberry Pi, Dronekit, Mavlink

      Built a high-performance drone utilizing real-time YOLOv10 target detection. Implemented dynamic coordinate-based tracking to locate individuals in disaster zones and deliver survival kits.

    • 🌐 DigitalTwin 2D-to-3D Cityscapes (R&D Lead) Guide: Dr. Prof. S. Pallam Setty (Sr. Prof., IT Dept., AU) | Tech: Three.js, React, Mapbox, OSM, OBJ Exports

      Developed a real-time web simulator streaming coordinate arrays via Mapbox/OSM APIs. Dynamically extruded 2D maps into exportable 3D city models supporting OBJ workflows.

    • 🧠 Brain Stroke Risk Prediction (R&D Lead) Guide: Mr. K. Vara Prasad (Asst. Prof., AVEN) | Tech: Flask, Python, Machine Learning, Random Forest, SQLite, AWS

      Engineered an AI predictive healthcare web application. Deployed an optimized Random Forest classifier achieving 88% risk assessment accuracy over modular REST endpoints.

  2. Steel Plant COE KALPATARU — Software Developer

    2024

    Contributed to software engineering initiatives at the Centre of Excellence (COE) for Visakhapatnam Steel Plant automation, digital transformation, and industrial control models. Guided by Dr. Chandra Sekhar Pulle, DGM, Visakhapatnam Steel Plant.

Education

  1. Avanthi Institute of Engineering and Technology

    Nov 2022 — Apr 2026

    B.Tech in Computer Science & Engineering (CSE)
    CGPA: 7.46 (Percentage: 71%)
    Visakhapatnam, Andhra Pradesh

  2. Narayana Junior College

    Jun 2020 — Mar 2022

    Intermediate (MPC)
    Percentage: 64%
    Visakhapatnam, Andhra Pradesh

  3. Saraswathi Vidya Vihar

    Jun 2008 — Jun 2020

    Schooling
    Percentage: 99%
    Visakhapatnam, Andhra Pradesh

Certifications

  1. Web Development & Full Stack

    By ExcelR

  2. HTML5, CSS3 & JavaScript

    By Infosys Springboard

  3. Programming in Java

    By Swayam (NPTEL)

  4. Career Readiness

    By WNS Global Services

Achievements

  1. 🥇 1st Place — IIC Hackathon

    Achieved first place in the Institution's Innovation Council hackathon for piloting a real-world software and autonomous drone project.

  2. 🥈 2nd Place — Technical Fest

    Secured second place in Code Debugging, Code Hunting, and Technical Quiz events at the university's technical fest.

  3. Senior Software Team Leader — Avanthi Hub

    Led cross-departmental software teams at ARH-Avanthi Research Hub directing project development and execution.

  4. Member — Institution's Innovation Council (IIC)

    Active member contributing to campus innovation, entrepreneurship, and technical workshops.

  5. Technical Events Organizer — UNSTOP

    Initiated and executed highly successful national-level technical challenges including "Code Hunt and Quiz" and "EAPCET Mock Test" on the UNSTOP portal.

Technical Skills

Languages
Python Java C++ C
Web Development
HTML5 CSS3 JavaScript PHP Bootstrap Flask Three.js
AI & Vision
YOLOv10 YOLOv8 OpenCV Machine Learning Deep Learning Random Forest Quantum Computing
Database & Cloud
MongoDB MySQL SQLite Firebase Supabase AWS Google Cloud
Tools & Platforms
Git/GitHub Linux Raspberry Pi Jetson Nano VS Code Postman Mapbox OpenStreetMap
ML Frameworks
TensorFlow PyTorch NumPy Pandas Keras HuggingFace Dronekit Mavlink
Automation
n8n Docker Antigravity Kiro
Core Strengths
Leadership Communication Problem-Solving Time Management Adaptability

Portfolio

Featured Case Studies

Autonomous Search & Rescue Drone

Problem: Rapid human detection is critical in disaster zones where traditional cameras fail to provide real-time insights.
Architecture: Built using YOLOv8, OpenCV, and a custom drone frame, integrating heavy hardware with an optimized machine learning inference pipeline on edge devices.
Impact: Achieved high-accuracy real-time human detection in varied environments. Served as a flagship final-year R&D project under Mr. V. Raju.

DigitalTwin 2D-to-3D with Quantum

Problem: Converting live 2D map data into exportable 3D city models requires complex rendering and real-time processing capabilities.
Architecture: Developed a highly scalable React & Three.js application that processes live map data, performs real-time building extrusion, and supports direct OBJ export.
Impact: Created a highly innovative tool for urban planning and simulation, developed under the guidance of Dr. Prof. S. Pallam Setty.

Contact

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