Hi, I'm
Shriram Janardhan
I build systems that think and ship fast.
CS student at UTD focused on AI/ML and full-stack engineering. From neural networks to production apps.
Tech Stack
I constantly try to improve my stack.
Featured Projects
A showcase of innovative solutions and cutting-edge technologies
Hear2See
HackUTD Project — Nov–Dec 2023
Developed assistive technology translating images into descriptive audio for visually impaired users. Integrated Google Cloud Vision and Azure Computer Vision APIs for real-time image recognition. Utilized gTTS for speech synthesis and OpenAI for intelligent caption generation.
Toxic Comment Classification
AI/ML Project — July 2022
Built a deep learning sentiment analysis model classifying online comment toxicity across multiple labeled categories. Applied Recurrent Neural Networks (RNNs) to capture linguistic context. Processed and augmented datasets to improve generalization and model performance.
Experience
My journey building innovative solutions and growing as a developer
Work Experience
Project Lead — Notebook
Nebula Labs
- Lead 30+ engineers and designers to develop Notebook, a scalable student note-sharing platform
- Manage sprints, onboarding, and code reviews ensuring consistent progress and scalability
- Architect platform infrastructure using Next.js, MUI, Drizzle ORM, NextAuth, and Nebula API
- Coordinate with product and marketing teams to enhance usability and feature alignment
Software Engineer — Trends
Nebula Labs
- Developed UTD Trends, a full-stack data analytics platform serving 20,000+ students
- Led two major UI redesigns, increasing engagement by 500% and improving load speed by 30%
- Deployed production features using Next.js, TypeScript, PostgreSQL, and Vercel
- Collaborated in Agile sprints with design and product teams via GitHub and Jira
AI Summer Schools — ESSAI/ACAI & UEF
1st European Summer School on AI · University of Eastern Finland
- Completed advanced courses on AutoML, Reinforcement Learning, LLMs, and Automated Planning
- Trained autonomous agents in simulated environments for robotics and strategy optimization
- Collaborated with international researchers to evaluate ML models using benchmark datasets
AI Summer Internship
University of Texas at Dallas
- Completed a nine-week workshop on Python (NumPy, Pandas), ML, and deep learning fundamentals
- Developed models using TensorFlow and Keras, including CNNs and RNNs for classification tasks
- Evaluated model performance using accuracy, loss, and ROC metrics across validation datasets
Education
Bachelor of Science in Computer Science, Minor in Finance
University of Texas at Dallas
GPA: 3.7 / 4.0
Relevant Coursework: Data Structures & Algorithms, Machine Learning, Database Systems, Compiler Design, Software Engineering, Operating Systems, Financial Accounting, Financial Markets
Let's Connect
Ready to collaborate? Let's talk.