Satya Akhil Matcha

Data Scientist | AI Engineer

Hyderabad, IN.

About

Highly accomplished Data Scientist and Generative AI Developer with 6 years of experience, specializing in designing, deploying, and optimizing scalable AI/ML and GenAI solutions for production environments. Expert in leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering with frameworks like LangChain and Autogen. Proven ability to build intelligent data pipelines and deploy AI services on Microsoft Azure, Azure Databricks, and Azure Bot Framework, driving significant improvements in accuracy, efficiency, and business outcomes.

Work

TECH MAHINDRA

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AI Engineer

Hyderabad, TS, India

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Summary

Currently serving as an AI Engineer, I design and deploy advanced AI solutions, focusing on Generative AI and conversational interfaces to enhance business intelligence and operational efficiency.

Highlights

Engineered an AI agent integrating GPT-4o with Power BI via REST API, enabling natural language queries to generate dynamic DAX queries and democratize data access.

Developed a robust AI RAG system using Autogen and LangChain, providing context-aware, real-time data analysis and reporting, enhancing decision-making speed.

Deployed an intelligent chatbot on Azure Bot Framework, automating report interrogation and significantly enhancing business reporting efficiency through conversational AI.

INFOSYS

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Data Scientist

Hyderabad, TS, India

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Summary

As a Data Scientist, I specialized in developing and optimizing machine learning and deep learning models to enhance logistics efficiency and customer satisfaction through accurate predictions.

Highlights

Retrained a Stacking Ensemble MLP Classifier, improving Estimated Delivery Date prediction accuracy by 25% and significantly enhancing logistics efficiency and customer satisfaction.

Optimized deep learning models for classification and regression using TensorFlow, achieving a 30% improvement in delivery window prediction accuracy.

Fine-tuned ensemble MLP classifiers through rigorous post-modeling analysis, increasing overall predictive reliability by 10% across diverse logistics datasets.

Deployed scalable deep learning models into Microsoft Azure data pipelines with robust MLOps integration, ensuring high availability and performance in production environments.

Contributed to critical Generative AI initiatives, including the development of RAG-based knowledge management systems utilizing LangChain and embedding models.

TATA CONSULTANCY SERVICES

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System Engineer

Hyderabad, TS, India

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Summary

In this role, I engineered and orchestrated the development of AI-driven systems to improve operational efficiency and decision-making capabilities within enterprise applications.

Highlights

Orchestrated the development of a sentiment analysis model, achieving a 10% increase in accuracy and significantly enhancing data-driven decision-making capabilities.

Engineered an AI-powered application screening system, integrating Naive Bayes, Decision Tree, GBDT, and LSTM models, which reduced false positives by 15% and decreased processing time by 20%, significantly optimizing recruitment efficiency.

Volunteer

Machine Learning Engineer

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OMDENA

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Volunteered as a Machine Learning Engineer, leading projects focused on applying AI for social impact, particularly in agricultural disease detection and web application deployment.

Highlights

Led the development of a machine learning system for crop disease detection in maize and tomato crops (Tanzania), successfully reducing crop loss by 25%.

Applied advanced transfer learning techniques with ResNet-50, achieving 95% accuracy in multi-class image classification for disease identification, outperforming prior models.

Deployed the trained ML model as a user-friendly web application via Streamlit, improving user engagement by 30% and enabling wider accessibility.

Education

SCALER

Hyderabad, TS, India
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Course Applied AI Machine Learning

JNTUK UCEV

Vizianagaram, AP, India
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Bachelor of Technology Information Technology

Awards

3rd Place - Data Science Hackathon

Grid Dynamics

Achieved 3rd place in a competitive Data Science Hackathon, demonstrating strong team collaboration and advanced problem-solving skills in a successful team effort.

On-the-Spot Award

Client Recognition

Received the 'On-the-Spot Award' for exceptional creativity and outstanding work, directly recognized and appreciated by clients for high-quality project delivery.

Skills

Generative AI & Data Science

Generative AI, Retrieval-Augmented Generation (RAG), Prompt Engineering, Chain-of-Thought Reasoning, Large Language Models (LLMs), Text Classification, Sentiment Analysis, Document QA Systems, AI/ML Model Governance, Data Science.

LLM Frameworks & Tools

LangChain, Autogen, Hugging Face, OpenAI APIs, Azure OpenAI Studio, Embedding Models, Vector Databases, VectorStores.

Programming & Data Engineering

Python, PySpark, SQL, TensorFlow, PyTorch, Scikit-learn, Azure Databricks, MLOps, MLflow.

Cloud & Deployment Platforms

Microsoft Azure (Azure Databricks, Azure Bot Framework), AWS, Streamlit, FastAPI.

Tools & Workflow Management

Git, Jupyter, Microsoft Excel, Jira, Confluence, Agile Methodologies, Code Quality, Best Practices.

Production Experience

End-to-end Development, Deployment, Monitoring, AI/ML Solutions, GenAI Solutions.

Satya Akhil Matcha