Sateesh's Devfolio
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I'm Sateesh

I turn impossible data problems into production systems that work. As a Senior Data Scientist, I specialize in building Agentic AI Systems and Hybrid RAG Architectures that collapse days of manual work into seconds. I move beyond simple prompt engineering to architect full-stack GenAI solutions—combining robust backend orchestration (LangGraph, Vertex AI) with responsive frontends (Next.js). My focus isn't just on 'building AI,' but on engineering self-optimizing systems that drive measurable business ROI.

About Me

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I'm a Senior Data Scientist & AI Architect

With 9.2 years of experience in the field, I am a Senior Data Scientist & AI Architect currently employed at Quantium Analytics. My expertise lies in architecting production-grade GenAI systems, from Agentic RAG workflows to Full-Stack ML applications. I specialize in turning ambiguous business problems into scalable, high-ROI AI solutions by combining deep technical mastery with strategic ownership.

    What I know

    Python

    Python

    LangGraph

    LangGraph

    Langchain

    Langchain

    Qdrant

    Qdrant

    Google Cloud

    Google Cloud

    Fast API

    Fast API

    LangFuse

    LangFuse

    PySpark

    PySpark

    PostgreSQL

    PostgreSQL

    TypeScript

    TypeScript

    NextJS

    NextJS

    React

    React

    Plotly

    Plotly

    What I Use

    Ubuntu

    Ubuntu

    VS Code

    VS Code

    Claude Code

    Claude Code

    Jupyter

    Jupyter

    Github

    Github

    Postman

    Postman

    Excalidraw

    Excalidraw

    Notion

    Notion

    Experience

    9.2 Years of Experience

    Quantium Analytics

    Quantium Analytics

    Senior Data Scientist
    Apr 2023 - Present
    Leading GenAI initiatives by architecting 'Q.Promo AI', an enterprise Conversational Analytics platform. Built a Hybrid Intelligence system using LangGraph multi-agent workflows that routes queries between deterministic playbooks (for 100% accuracy) and Agentic RAG (for complex reasoning), collapsing analysis time by 90%. Additionally, engineered 'Quail', an NHS Patient Experience platform using Palantir Foundry & AIP Logic to automate insight extraction from 24,000+ unstructured complaints annually.
    • LangGraph
    • Agentic AI
    • Hybrid RAG
    • Vertex AI
    • Qdrant
    • Next.js
    • FastAPI
    Quantium Analytics

    Quantium Analytics

    Data Scientist
    Jun 2021 - Mar 2023
    Engineered automated ETL pipelines using Python and PySpark to ingest and process massive volumes of raw transaction data for global financial institutions. Developed statistical models to enhance lending quality assessments and reduce reporting latency, directly supporting data-driven decision-making for banking clients.
    • PySpark
    • Python
    • ETL Pipelines
    • Statistical Modeling
    • Scala
    LatentView Analytics

    LatentView Analytics

    Data Analyst
    Oct 2019 - May 2021
    Developed an NLP-based Early Warning System using Deep Learning (LSTM/Transformers) to predict potential class action lawsuits from unstructured customer feedback, improving risk detection speed by 25%. Also designed a predictive maintenance model (Random Forest/XGBoost) for Oil & Gas clients to optimize refinery filter wash cycles, and benchmarked vehicle failure rates using external NHTSA datasets.
    • NLP
    • Deep Learning
    • XGBoost
    • Alteryx
    • QlikView
    • Python
    • SQL
    Tata Consultancy Services

    Tata Consultancy Services

    Data Analyst
    Sep 2018 - Sep 2019
    Developed a 'Distress Ranking System' to automate damage assessment for fleet engine components. Utilized Computer Vision and Image Processing algorithms to identify and rank distress levels from component images, visualizing actionable insights on interactive dashboards.
    • Computer Vision
    • Python
    • Image Processing
    • Dash by Plotly
    Tata Consultancy Services

    Tata Consultancy Services

    Assistant Systems Engineer
    Nov 2017 - Aug 2018
    Engineered a Supervised Machine Learning model to automate loan eligibility checks based on customer application data. This solution significantly reduced manual risk assessment time while improving the consistency and accuracy of loan approval decisions.
    • Machine Learning
    • Python
    • Random Forest
    • Predictive Modeling
    Tata Consultancy Services

    Tata Consultancy Services

    ASE - Trainee
    Nov 2016 - Oct 2017
    Designed and deployed high-availability transaction processing systems for Tablet and POS devices. Handled critical financial workflows including Funds Transfer, Deposits, and Bill Payments for a government-owned banking client.
    • Java
    • Spring
    • SQL
    • Transaction Systems
    Computer Port IT Solutions

    Computer Port IT Solutions

    Summer Intern
    May 2015 - June 2015
    Collaborated with the development team to optimize and update web applications. Supported full-cycle website deployment and managed content updates for client blogs using WordPress and custom scripting.
    • HTML
    • CSS
    • JavaScript
    • WordPress
    • Python

    Projects

    Q.Promo AI - Enterprise Conversational Analytics

    A Hybrid Intelligence system combining deterministic playbooks and Agentic RAG to automate retail promotional analysis, collapsing days of work into seconds.

    Quail - NHS Patient Experience Platform

    An AI-powered insight extraction engine for NHS Trusts, processing unstructured patient feedback to improve clinical safety outcomes.

    Product Attribute Accelerator (PAA)

    An advanced automation tool leveraging Multi-Modal LLMs to analyze product descriptions and images for comprehensive attribute extraction.

    Q.Shelf - Intelligent Assortment Optimization

    A visual analytics product enabling retailers to optimize ranging and spacing strategies by decoding customer purchasing decisions.

    Transaction Enrichment & Attribute Generation

    A high-scale financial data engine converting millions of raw banking transactions into enriched, actionable attributes for precise lending risk assessment.

    Class Action Lawsuit Early Warning System

    A Predictive Risk system identifying potential class action lawsuits from unstructured customer feedback using Deep Learning.

    Refinery Process Optimization (MEK Dewaxing)

    A Predictive Maintenance model optimizing filter wash cycles in oil dewaxing processes to reduce solvent waste and downtime.

    Field Service & Recall Benchmarking

    An integrated analytics platform benchmarking vehicle failure rates against competitors using external NHTSA datasets.

    Real-time Anomaly Detection System

    A monitoring system detecting root causes of unit concern spikes in manufacturing assembly lines in real-time.

    Computer Vision Distress Ranking System

    An automated damage assessment system using Computer Vision to rank distress levels of aircraft engine components.

    Automated Credit Risk Engine

    A Machine Learning system automating loan eligibility checks and risk assessment for banking customers.

    High-Volume Financial Transaction System

    A scalable gateway architecture handling Financial and Non-Financial transactions for Tablet and POS devices.

    Education

    Master of Business Administration - HRM

    Centre for Distance Learning, Gitam University

    Vishakaptnam
    Aug 17 - Sept 19

    Master of computer Applications

    School of Information Technology, Jawaharlal Nehru Technological University

    Hyderabad
    Sept 13 - Mar 16

    Academic Achievements

    Sir Sudir C Rao MDF Gold Medal

    Achieved for the overall topper in Master of Computer Applications at School of Information Technology (SIT), Jawaharlal Nehru Technological University.

    Learnings

    Langchain Academy - Introduction to LangGraph
    DataCamp - Data Science using Python
    Alteryx Designer core
    Introduction to Tensorflow