Govinda R.
AI/ML Engineer | Data Scientist @ Infosys || Python || SQL || ML || DL || NLP || SnowPro Certified || GenAI || SnowFlake || Kubernetes ||
- Role
- Ai Ml Engineer Data Scientist at Infosys
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Govinda R.
I\'m an ML Engineer and Data Scientist with 5 years of experience building machine…
Experience
Ai Ml Engineer Data Scientist
May 2020 — Present · Hartford, CT, US
I specialize in designing and optimizing end-to-end AI and data pipelines, integrating Machine Learning, NLP, and Generative AI to deliver intelligent, automated, and compliant solutions. My expertise spans from ETL and EHR data processing under HIPAA compliance to LLM-based GenAI applications for contextual automation and insight generation.I have architected high-throughput ETL workflows using Spark, SQL, and Python, achieving 99.9% data accuracy and streamlining healthcare data processes, Azure Data Factory, and Hive. In the cloud domain, I modernized analytics infrastructure by migrating legacy systems to Azure Data Lake, cutting storage costs by 25%, and building real-time streaming pipelines via Azure Event Hubs + Spark, reducing latency by 80%.Leveraging LLMs and GenAI frameworks, I’ve developed Retrieval-Augmented Generation (RAG) systems using LangChain, Hugging Face, and FAISS to enable intelligent document retrieval, summarization, and knowledge extraction. I’ve fine-tuned BERT, GPT, and LLaMA models for NLP classification, improving contextual understanding and achieving 93% accuracy in domain-specific tasks.My ML portfolio includes designing fraud detection and predictive modeling systems using RandomForest, XGBoost, and Gradient Boosting, reaching 95% model accuracy and minimizing false positives. I employed cross-validation, GridSearchCV, and feature selection techniques (Chi2, IV, RFE) to enhance performance by 15%.Additionally, I’ve driven data visualization and AI adoption, enabling executives to make data-driven decisions through Power BI and Tableau dashboards, reducing decision latency by 30%. I’ve integrated REST APIs, MLOps pipelines (Azure ML, MLflow), and GenAI-driven analytics, empowering organizations with real-time, scalable intelligence.
Education
Jawaharlal Nehru Technological University, Kakinada
Bachelor of Technology - BTech
2013 — 2017
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