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Available for AI & ML Opportunities

Sai Yashwant Reddy Panthy

AI & Machine Learning Engineer
Experienced in Data Science, Computer Vision, and Generative AI. Delivering research-driven and analytical solutions for complex deep learning challenges.
Explore • About Me

Engineering Production-Grade Intelligent Systems

I am an AI and Machine Learning Engineer with a strong foundation in building and evaluating deep learning models. I specialize in designing automated data pipelines and delivering research-backed solutions in both academic and industry settings. My expertise spans Computer Vision, NLP (LLMs, RAG), and High-Performance AI systems.
  • Education
    B.Tech CSE (AI & ML)
    Manipal University Jaipur
    Sep 2021 – Dec 2025
  • Research Publication IEEE Xplore ↗
    Hybrid Minimax–MCTS Engine with RLHF
    ACROSET 2025 • 10M+ positions
    View on IEEE Xplore →
  • Honors & Awards
    1st Place Winner
    Codestellation CodeWar 4.0
    eYRC Finalist
Explore • Technical Expertise

Comprehensive AI & MLOps Toolkit

A complete toolkit focused on Artificial Intelligence, Deep Learning architectures, automated data pipelines, and scalable cloud deployment.

  • AI / LLM & GenAI

    Frameworks & Next-Gen: LangChain, Hugging Face, PyTorch, TensorFlow, scikit-learn, RAG Pipelines, Vector DBs (Pinecone, Chroma), Prompt Engineering, and Agentic AI.

  • Computer Vision & Robotics

    Vision Specialization: Real-time YOLO detection, OpenCV, ROS2 integration, PLC systems, Docker-based robotics deployments, and multi-camera stream processing.

  • MLOps & Cloud Infra

    Production Deployment: Docker, AWS (CodePipeline, CloudFormation), MLflow, Weights & Biases, Terraform, CI/CD automated retraining, and RESTful APIs.

  • Languages, Data & Analytics

    Core Tools: Python, SQL, Bash, JavaScript, Pandas, NumPy, Tableau, Streamlit, Gradio, Excel, BiLSTM/GRU time-series forecasting, and Risk Modeling.
Explore • Engineering Portfolio

Engineering Portfolio Projects

Research-driven projects across Generative AI, MLOps automation, Computer Vision, and Reinforcement Learning.
  • LangGraph · Ollama · MCP · Agentic AI
    Local Software Factory
    Fully local autonomous coding assistant for CPU laptops: Laya router + LangGraph agent workflow + Qwen 3 8B with sandboxed Model Context Protocol (MCP) execution.
  • IEEE ACROSET'25 · RLHF · PyTorch · C++
    Hybrid Minimax–MCTS Chess Engine
    Published IEEE research project combining Minimax search with Monte Carlo Tree Search (MCTS) and RLHF policy/value neural networks trained over 10M positions.
  • Next.js · LangChain · Pinecone · Stripe
    PDF AI SaaS — Multi-Doc Chat
    Production full-stack GenAI SaaS platform enabling conversational Q&A over complex PDF documents using LangChain RAG, OpenAI embeddings, and vector search.
  • C++20 · Go · LightGBM · DuckDB
    FinGuard — Quantitative Execution Platform
    C++20 execution, Go ingestion and Python ML over deterministic event replay, order-book simulation and execution-cost analysis, with walk-forward models for market impact, fill probability and latency. Live trading disabled; results on synthetic data.
  • Go · Autonomous Agents · Self-Healing
    agentd — Self-Healing Web Monitor
    Autonomous Go-based self-hosted runner for scheduled web monitors that detects schema drift and structural breakages, synthesizing and verifying automated code repairs.
  • TensorFlow · CNN-BiLSTM-GRU · Streamlit
    Advanced Stock Forecaster
    Deep learning quantitative market forecaster combining 1D CNN feature extractors with bidirectional LSTM and GRU recurrent layers, with interactive Streamlit analytics.
  • MLOps · Docker · CI/CD · Terraform
    MLOps-Forge
    Modular end-to-end MLOps platform featuring automated containerized training, model registry versioning, automated testing CI/CD pipelines, and cloud deployment.
  • YOLO · OpenCV · PyTorch · Vision
    Real-Time Animal Detection
    Computer vision system for real-time safety monitoring using YOLO object detection and OpenCV video streaming for automated edge wildlife surveillance.
Explore • Professional Offerings

How I Help Teams Leverage AI

Specialized engineering services for production deep learning, RAG systems, and cloud infrastructure.
GenAI & RAG Development
Advanced Retrieval-Augmented Generation systems and AI agents that chat with private enterprise documents and data.
  • Custom LLM fine-tuning & prompt engineering
  • Vector database integration (Pinecone, Chroma)
  • Automated document processing pipelines
MLOps & CI/CD Automation
Architecting production-ready cloud infrastructure to train, deploy, and monitor ML models at scale.
  • AWS and Docker-based deployment architectures
  • Automated retraining and testing pipelines
  • Model drift detection & continuous monitoring
Computer Vision Solutions
Developing real-time object detection, segmentation, and tracking systems for security, industry, and robotics.
  • YOLO-based high-speed real-time detection
  • Embedded system optimization (ROS2)
  • Data augmentation and synthetic preprocessing
Data Analytics & Forecasting
Transforming raw business data into actionable forecasts using deep learning time-series models and Tableau.
  • BiLSTM/GRU time-series forecasting models
  • Interactive business intelligence dashboards
  • Exploratory Data Analysis (EDA) for risk profiling

Professional Journey

  1. TATA GROUP
    Gen AI Data Analyst Intern • Jan 2026 - Jul 2026

    Exploratory data analysis using GenAI tools, predictive customer delinquency risk modeling, and ethical agentic AI collection workflows.

  2. JPMORGAN CHASE & CO.
    Quantitative Researcher Intern • Feb 2026 - Apr 2026

    Quantitative risk estimation, book-of-loans probability of default estimation, and dynamic programming for FICO score categorization.

  3. BOSTON CONSULTING GROUP
    Data Science Intern • Nov 2025 - Jan 2026

    Customer churn analysis and optimization using Python and Random Forest, achieving 50% recall and presenting strategic insights.

  4. DELOITTE & MAIN FLOW
    Analytics & Software Intern • 2024 - 2025

    Built business investigation dashboards in Tableau and automated ROS2/YOLO computer vision robotics integration via Docker.

Explore • Direct Connection

Let's Build Together

Open for research collaborations, engineering roles, and deep learning contracts. Whether it's Computer Vision, NLP, or MLOps infrastructure, I'm always eager to discuss innovative projects.
Direct
Email
saiyashwantreddypanthy@gmail.com
Base
Location
Mumbai, India
Schedule
1:1 Discussion
Book a Meeting →
CV
Resume
View Full CV →
SYRP. AI / ML
About Skills Offerings Projects Timeline Contact Resume
SYRP.
Available for AI & ML Opportunities

Engineering
Production-Grade AI
& Intelligent Systems

Hi, I'm Sai Yashwant Reddy Panthy — AI & Machine Learning Engineer experienced in Data Science, Computer Vision, and Generative AI. Delivering research-driven solutions for complex deep learning challenges.

Professional Offerings

How I help businesses and teams leverage cutting-edge AI, machine learning, and automated MLOps infrastructure.

GenAI & RAG Systems

LLM fine-tuning, LangChain, Pinecone vector stores, and automated document chat pipelines.

MLOps & CI/CD

Scalable AWS & Docker infrastructure, automated model retraining, and continuous monitoring.

Vision & Robotics

Real-time YOLO object detection, ROS2 robotics integration, and high-throughput video processing.

Data Analytics & Forecasting

Transforming raw data into predictive insights using BiLSTM/GRU time-series models and Tableau dashboards.

Featured Engineering Projects

Research-driven implementations in GenAI, Computer Vision, and Cloud Infrastructure.

About Sai Yashwant Reddy Panthy

Architecting Production-Ready AI & MLOps Solutions

I am an AI and Machine Learning Engineer specializing in designing automated deep learning pipelines, high-throughput computer vision systems, and Generative AI applications. Currently completing B.Tech in CSE (AI&ML) at Manipal University Jaipur with published research in IEEE Xplore. Proven experience across Tata Group, JPMorgan Chase & Co., BCG, Deloitte, and Main Flow Services.

Published Research • ACROSET 2025

IEEE Publication & Honors

Authored "A Hybrid Minimax–MCTS Chess Engine Enhanced by RLHF Using Stockfish and AlphaZero" published in IEEE Xplore (ACROSET 2025) with 10M self-play games. 1st Place Winner at Codestellation CodeWar 4.0 Hackathon, and Finalist in eYRC International Robotics Competition.

View Paper on IEEE Xplore ↗
IEEE Xplore
Peer-Reviewed Paper ↗
1st Place
CodeWar 4.0 Hackathon

Technical Expertise & Stack

Comprehensive toolchain across Machine Learning engineering, Agentic GenAI, and MLOps automation.

Core Languages & Web

Python (advanced proficiency), SQL (PostgreSQL, MySQL), Bash scripting, JavaScript, Next.js, HTML5 & CSS3.

AI & Deep Learning Frameworks

PyTorch, TensorFlow, LangChain, Hugging Face Transformers, scikit-learn, OpenCV.

Generative AI & Agentic AI

OpenAI models, RAG pipelines, Pinecone vector DB, text/image embeddings, prompt engineering, agentic planner & memory concepts.

MLOps, DevOps & Cloud

Docker, Git & GitHub, Linux, MLflow, Weights & Biases, CI/CD pipelines, AWS (CodePipeline, CodeDeploy, CloudFormation).

Data Tools & Visualization

Pandas, NumPy, Streamlit, Gradio, Tableau dashboards, Advanced Excel.

Contact: saiyashwantreddypanthy@gmail.com copy icon
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Career Milestones & Journey

Chronological roadmap of enterprise internships, published research, and academic milestones.

Direct Connection

Let's Build Together

Open for research collaborations, engineering roles, and deep learning contracts. Whether it's Computer Vision, NLP, or MLOps infrastructure, I'm always eager to discuss innovative projects.

Email
saiyashwantreddypanthy@gmail.com
Location
Mumbai, India
Schedule
Book a Meeting →
Full CV
View Resume (Docs) →