Skills

Languages: Java, Python, JavaScript, TypeScript, SQL Technologies & Tools: Next.js, React.js, Express.js, Node.js, MongoDB, PostgreSQL Relevant Coursework: OOP, Databases, Data Structures and Algorithms, Operating Systems, Computer Networks, Machine Learning, Generative AI, NLP, Deep Learning

Education

Neil Gogte Institute of Technology, Hyderabad (2023 – 2027)
B.E. in Computer Science and Engineering | CGPA: 7.96/10

Pragathi Junior College, Nalgonda (2021 – 2023)
Intermediate, MPC | Percentage: 93.4

Narayana High School, Nalgonda (2020 – 2021)
SSC | GPA: 10

Project Work

AvatarLab – AI-Powered Talking Avatar (Apr 2025 – July 2025)

Tech: MERN Stack, TypeScript, FastAPI, StyleTTS2, SadTalker

Designed a full-stack AI pipeline converting user text & voice into personalized talking avatars.
Integrated StyleTTS2 for voice cloning and SadTalker for realistic head generation.
Developed modular frontend (React + TS) and backend (Node.js + Express + FastAPI).
Added JWT auth, MongoDB history storage, and FFmpeg video processing.
GitHub: AvatarLab Repository

Hair & Skin Analysis App (Feb 2025 – Mar 2025)

Tech: MERN, TypeScript, Teachable Machine, Stripe

Developed AI-powered app analyzing hair & skin using Teachable Machine models.
Implemented real-time predictions with confidence scores and history tracking.
Integrated JWT authentication & Stripe for credit-based access.
Built responsive UI using React + Tailwind CSS.
GitHub: Hair-Skin Analysis Repo

StockWisely – Stock Prediction Using ANN (Nov 2024 – Jan 2025)

Tech: MERN, ANN, JWT, GSAP, Lenis

Developed stock prediction web app achieving 85%+ ANN accuracy.
Built secure JWT & bcrypt authentication.
Implemented real-time stock data fetching & interactive charts.
Created animated UI using GSAP & Lenis.
GitHub: StockWisely Repo

Hrushikesh Sai Middela