Available for opportunities

Sthana
Sriharsha

|

CS graduate specialising in AI & Data Science, currently working as AI-ML intern at C-DAC Thiruvananthapuram. I build deep learning solutions for real-world problems — from Sign Language recognition to intelligent document analysis.

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Sriharsha
🎓
Currently at
AIML Intern at C-DAC, TVM

About Me

Building AI that
actually works.

I'm Gundumalla Sthana Sriharsha, a Computer Science graduate specialising in AI & Data Science from GNIT, Hyderabad (Class of 2025).

Currently an AI/ML Intern at C-DAC Thiruvananthapuram, working on deep learning approaches for Indian Sign Language (ISL).

My passion is bridging research and real applications.

3+
Projects built
2
Internships
7.38
CGPA (B.Tech)

Technical Skills

What I work with

Technologies and tools I've used across projects and internships.

🐍
Languages
Python Java JavaScript HTML CSS SQL
🤖
AI & Machine Learning
TensorFlow Scikit-learn OpenCV Deep Learning Supervised Learning Unsupervised Learning
📦
Libraries & Frameworks
NumPy Pandas Flask Node.js Bootstrap Streamlit
🛠
Tools & Platforms
Git GitHub VS Code OpenAI API Netlify Jupyter

Experience

Where I've
worked

Internships and training that shaped my skills.

AI/ML Intern
C-DAC, Thiruvananthapuram
Present

Exploring deep learning approaches for building the AI models for Indian Sign Language (ISL). Collaborating with technical teams on research-oriented projects and developing AI-driven solutions for accessibility.

Deep Learning Sign Language AI Research Python
AI-ML Intern
Google for Developers × AICTE
Oct – Dec 2024

Completed an intensive AI-ML training under the Google for Developers initiative endorsed by AICTE. Worked on ML fundamentals, model evaluation, and deploying ML models in production-ready environments.

Machine Learning Google Cloud Model Deployment

Projects

Things I've built

All on GitHub
01
🌃

Low Light Image Enhancement

Python-based system to improve quality of nighttime roadside images for intelligent transportation. Implements bidirectional area segmentation-based inverse tone mapping. Deployed as a Flask web app with real-time processing.

Python OpenCV Flask NumPy
GitHub Live Demo
02
🤖

AI Document Assistant

Web-based AI assistant for intelligent document analysis with contextual Q&A and auto-summarization. Powered by Google gemini for deep document understanding and context retention across multi-turn conversations.

Python Streamlit OpenAI GPT-4 NLP
GitHub Live Demo
03
🔬

Pose Normalization for Sign Language

Developed a pose normalization pipeline to standardize human keypoints extracted from video data, improving consistency across different scales, positions, and viewing angles.

PyTorch Python Computer Vision Pose Estimation NumPy
GitHub Live Demo
02
🌐

Word Sense Disambiguation — Specific Word Scorer & Sense Analyzer

Developed an NLP-based system that detects ambiguous words in a sentence and determines their correct meaning using contextual understanding. The system also evaluates specific words by assigning relevance and quality scores, improving semantic interpretation and language analysis. Deployed as an interactive web application using Hugging Face Spaces.

Python NLP SpaCy WordNet PyTorch Hugging Face
GitHub Live Demo

Certifications

Credentials & Achievements

Recognized training from global technology organizations.

🐍
Programming Foundations with Python
Cisco Networking Academy
🌐
Web Development
IBM SkillsBuild
📊
Introduction to Data Science
Cisco Networking Academy
🤖
AI-ML Training Program
Google for Developers × AICTE
📊
Machine Learning Professional Certification
Altair

Contact

Let's work
together.

Open to full-time roles, internships, and research collaborations in AI/ML. Don't hesitate to reach out!

sthanasriharsha@gmail.com
LinkedIn GitHub +91 80964 14909