Experience
Resume
Download my full resume: Shreyas_Bachiraju_Resume.pdf
🔬 Research Experience
Research Intern – Data Mining & Reinforcement Learning Lab
Arizona State University | September 2024 – Present
- Investigating Deep Neural Network model compression for autonomous systems on NVIDIA Jetson-powered edge devices as part of the Fulton Undergraduate Research Initiative.
- Exploring dataset distillation techniques using reinforcement learning (Stable-Baselines3, PyTorch) to optimize model training efficiency.
- Conducting a case study on transportation planning, optimizing the Origin/Destination Matrix using LLaMa LLM from HuggingFace to improve route efficiency.
🏢 Industry Experience
AI/ML Intern (Computer Vision) – Netradyne
May 2024 – July 2024
- Conducted in-depth research and validation of state-of-the-art (SOTA) depth estimation models for Time to Collision (TTC) estimation in Advanced Driver Assistance Systems (ADAS) using PyTorch.
- Developed an end-to-end automated pipeline using Python and AWS S3 to extract and process 30,000+ videos, reducing model inference time by 90%.
- Improved model accuracy by 15% through hyperparameter tuning, generating depth data for 280,000+ images and integrating it with YOLOv5 object detection models for depth prediction training.
Software Engineer Intern – Clocr Inc.
June 2023 – July 2023
- Integrated OpenAI’s LLM into My-Legacy.ai, an estate planning chatbot, reducing LLM hallucinations in legal queries by 20% through fine-tuning with a custom knowledge base.
- Conducted A/B testing and user feedback analysis, improving chatbot personalization and increasing user satisfaction by 40%.
🎓 Leadership Experience
Founding Co-President – CS+Social Good at ASU
Arizona State University | 2023 – Present
- Established and led CS+Social Good at ASU, fostering a community-driven approach to ethical AI, responsible tech, and social impact initiatives.
- Organized workshops and hackathons on machine learning, bias detection, and ethical AI development.
- Mentored students in data science and AI, helping them transition from theory to real-world applications.
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