Vineeth Sai — Data Scientist

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About memy stats

Hey there! I'm Vineeth — AI/ML Engineer, applied researcher, and someone who takes curiosity seriously. Professionally, I build agentic systems, RAG architectures, and multimodal pipelines. On the research side, I'm working on making VLM training more efficient through horizon minimization and reinforcement learning.

What makes me tick goes way beyond code. I'm captivated by astrophysics and the mysteries of the cosmos, grounded by philosophy — from Zarathustra to Meditations — and energized by sports in all forms: F1 for the tactics, football for the passion, tennis for the craft, with basketball and cricket always in the rotation.

I'm a fixture at SF hackathons, a relentless explorer of emerging tech, and someone who genuinely believes the best ideas come from connecting dots across disciplines. Pull up a chair — let's chat.

650+

Projects Completed

15+

Awards Won

30+

Happy Clients

15+

Technologies Proficient In

My Skills

Languages 10

Python R SQL HTML/CSS JavaScript TypeScript C C++ Java Bash

Frameworks & Libraries 36

PyTorch TensorFlow Keras JAX NumPy Pandas Matplotlib Seaborn Plotly Scikit-Learn SciPy spaCy NLTK cv2 PyRadiomics Hugging Face Transformers Hugging Face TRL Unsloth Axolotl Torchtune LangChain LangGraph LlamaIndex DSPy FastAPI Flask Streamlit Gradio NextJS React vLLM SGLang Ollama llama.cpp Instructor Pydantic

Agent Frameworks 10

LangGraph CrewAI OpenAI Agents SDK Claude Agent SDK Google ADK AutoGen Semantic Kernel smolagents Chainlit Haystack

Tools, Infra & Platforms 38

Docker Kubernetes AWS GCP Azure AWS Bedrock AWS SageMaker VertexAI Azure AI Studio MLflow Kubeflow Weights & Biases LangSmith LangFuse Ollama Modal Tableau Git GitHub GitLab Hadoop Spark Hive Tesseract Textract Deepgram API Google Speech-to-Text API QuantizeML CNN2SNN Heroku Apache WordPress Webflow ZOHO One Click-Up Miro MetaTF Terraform

Databases & Vector Stores 11

PostgreSQL MongoDB BigQuery NoSQL ChromaDB FAISS Pinecone Weaviate Qdrant LanceDB AstraDB

Models & LLMs 48

Claude GPT Gemini Grok Amazon Nova DeepSeek Qwen Llama GLM Kimi MiMo Mistral Pixtral Gemma Phi Command R Nemotron ERNIE Hunyuan Jamba DBRX Falcon Yi SmolLM StarCoder PaliGemma InternVL Molmo Florence ColPali Flux Stable Diffusion Sora Whisper Kokoro BERT RoBERTa T5 Longformer LayoutLM Lilt YOLO XGBoost VAEs NCF DPR ColBERT ALBERT

Concepts & Methodologies 46

Agentic AI RAG Agentic RAG Graph RAG Multimodal RAG Deep Learning NLP Computer Vision Machine Learning Reinforcement Learning RLHF RLVR GRPO DPO KTO SimPO LoRA / QLoRA / DoRA Transformer Architecture Mixture of Experts Diffusion Models GANs Speculative Decoding Test-Time Compute Chain-of-Thought Constitutional AI Synthetic Data Generation Neural Networks Graph Neural Networks Spiking Neural Networks Large Language Models Vision-Language Models Prompt Engineering Model Merging Quantization (GPTQ/AWQ) Hybrid Search (Vector + BM25) ColBERT Adversarial ML (PGD) Differential Privacy Homomorphic Encryption Bayesian Optimization Gaussian Processes Data Mining Statistics Digital Twin ROS 2 Blockchain

My Timeline

Professional Experience

03/2026 - Present

AI Architect | AI Engineer- AT&T

Developing LangGraph-based AI agents with RAG and structured LLM extraction to automate enterprise pricing workflows and proposal generation for AT&T Business sales.

01/2026 - Present

AI Research Engineer- Nabu Tutor

Architecting an end-to-end multimodal AI system combining real-time visual context ingestion, streaming STT/TTS pipelines, RAG-grounded retrieval, vision-language embedding models, and generative rendering for specialized knowledge domains.

05/2025 - 01/2026

Data Scientist - Google

Designed automation workflows for multimodal image/text classification and data mapping, built GoogleSQL/BigQuery dashboards for leadership, and worked on RAG workflows and AI agents.

01/2025 - 06/2025

Research Scientist | AI Engineer - Aion Labs

Fine-tuning diffusion models with art data/media, building RAG systems and AI agentic workflows.

05/2024 - 08/2024

Data Scientist Intern - Nurjana Technologies

Developed real-time object detection models for space applications using SNN, and integrated QuantizeML & CNN2SNN.

02/2024 - 05/2024

Software Development Engineer | Data Scientist Intern - BambiHealth

Developed and deployed a speech-to-text solution using advanced TTS APIs while enhancing backend stability through rigorous code reviews.

08/2022 - 05/2023

Associate Data Scientist - Foundation AI

Implemented document processing pipelines using Hough Lines Transform, YOLO V5, Lilt, BERT, RoBERTa, and LayoutLM v3.

05/2022 - 09/2022

Junior Data Scientist Intern - Zummit Infolabs

Applied CNNs and PyRadiomics for image segmentation and advanced feature extraction in medical imaging.

04/2021 - 07/2021

Entrepreneur In Residence - Stirring Minds

Led product development using WordPress, Webflow, Discord, and Notion; managed AWS EC2 and integrated marketing tools.

On-Campus Roles & Involvement

08/2024 - Present

Research Assistant - University of the Pacific

Conducting research in ML for cyber-physical security, release note classification, Virtual TA using RAG, exoplanet discovery, and multimodal RAG.

05/2024 - 07/2024

Graduate Teaching Assistant - Deep Learning with PyTorch, UOP

Mentored students in neural networks, model optimization, and deployment while leading interactive workshops.

06/2024 - 08/2024

Co-Lecturer - Summer Program, UOP

Taught Python, NumPy, Pandas, and various ML models through interactive, hands-on sessions.

08/2024 - 12/2024

Graduate Teaching Assistant - Socratic Lab, UOP

Facilitated seminars on Math for Data Science, ML, and Databases; provided mentoring and comprehensive grading.

Volunteering & Leadership

Mar 2024 - Present

President (Pacific Data Science & AI Club) - University of the Pacific

Organizes high-impact events including Data Science Connect, hands-on workshops on building agentic workflows, and engaging meetups with outstanding turnout.

01/2019 - 04/2021

Founder/Coordinator (CODE.EXE - Coding Club of GNIT) - Undergrad

Built and led a coding community by organizing seminars, workshops, and competitions focused on data structures and algorithms.

Academic Programs

08/2023 - 05/2025

Master of Science in Data Science - University of the Pacific

Focus on Advanced ML/Deep Learning, NLP, Data Engineering, and Statistics.

2018 - 2022

Bachelor of Technology in Computer Science & Engineering - JNTU

Covered Machine Learning, Data Structures, Data Mining, AI, Cyber Security, and more.

My PortfolioMy Work

Here is some of my work that I've done in various programming languages.

PodForge

GENESIS

GameAgent AI

AgentDuel

AI Presentation Assistant

AgenticRAG Research Assistant

AI Research Assistant

AI-Powered Doc Crawler

Speech-to-Speech Chatbot

Research Interpreter

Personalized Voice Assistant

Brain Tumor Detection

Research Interpreter

Text Abstractor

Text To Speech

Athletes Analysis

Encryption

Portfolio Website

My Blog

Research WorkResearch Work

Diffusion-Based Model Fine-Tuning for Art Media

Diffusion-Based Model Fine-Tuning for Domain-Specific Art

Description: Using advanced diffusion models to generate art tailored to specific artistic styles, harnessing LoRA for efficient and memory-friendly fine-tuning.

Professor: Dr. Aurelia M. Davidson

Audit Logging for Cyber-Physical Systems with Machine Learning

Description: Mitigating adversarial effects in robot programming through audit logging and machine learning. The system safeguards against attacks, providing real-time feedback to ensure secure operations.

Professor: Dr. Sepehr Amir-Mohammadian

Release Notes Classification and Prioritization Using Deep Learning

Description: Classifying release notes based on key words and context, prioritizing these updates, and using advanced deep learning models to build a recommendation engine for user upgrades.

Professor: Dr. Solomon Berhe

Virtual TA Using Retrieval-Augmented Generation

Description: Building an intelligent assistant that can help students with course material using RAG and fine-tuned open-source LLM models for security. This assistant answers students' questions contextually based on professor lecture materials.

Professor: Dr. Vivek Pallipuram

Exoplanet Discovery and Analysis

Description: Analyzing light dimming data from stars to discover and characterize exoplanets, calculating planet size, gravity, and other characteristics based on the light fluctuations and rotational speed of the stars.

Professor: Dr. Daniel Jontof-Hutter