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Avinash Rajaraman Swaminathan

@avinashrajaramanswam

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Highly skilled data scientist with expertise in machine learning and AI.

United States

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What I'm looking for

Looking for a data science or ML/AI engineer role where I can own models end-to-end turning raw data into production systems that move a clear business metric. Give me a challenging problem, real users, and the autonomy to innovate, and I’ll turn cutting-edge Gen AI into measurable wins.

With a foundation in academic research and deep expertise in Large Language Models (LLMs) and Cloud Computing, I build scalable AI solutions, turning billions of data points into clear business impact.

Currently at Infosys delivering end‑to‑end GenAI & Agentic systems using multimodal framework that autonomously execute workflows, gather insights, and drive measurable business impact. Explore my projects here: https://github.com/rsasmack.

Data isn’t just about patterns; it’s about unlocking insights that makes a real difference. Inspired by the quote: "A point of view can be a dangerous luxury when substituted for insight and understanding".

🔧 Programming: Python, C++, R, GO, CSS, HTML, JavaScript (Node.js, React.js), SQL, NoSQL (MongoDB), & Graph Database (Neo4j)
🔧 Data Visualization: Tableau, Qlik, Looker, & Power BI
🔧 Data Governance: Compliance, Security, Quality
🔧 Machine Learning & Deep Learning: Pytorch, TensorFlow, Keras, CNN/RNN, Semantic Search, NLG, Computer Vision
🔧 Agentic AI & GenAI: LLMs (ChatGPT, LLaMA), LangChain, Langgraph, RAG, Vector DBs, Prompt Engineering, MCP, Google ADK, A2A, CrewAI, Autogen
🔧 Cloud Computing & Big Data Technologies: AWS, GCP, Azure, Hadoop, Hive, Bitbucket, Confluence, Jira

Currently passionate about exploring Multimodal Models and Generative AI for practical business impact. Always eager to connect with professionals working on exciting AI & ML projects. Feel free to reach me at [email protected]

Experience

Work history, roles, and key accomplishments

Senior Data Scientist (Gen AI Engineer)

Infosys

Oct 2024 - May 2025 (7 months)

• Delivered end-to-end Agentic GenAI solutions using Azure, Google ADK, Langchain and RAG-based semantic search, integrating real-time summarization and intelligent retrieval for leading finance, energy and healthcare stakeholders.
• Led full-stack development (Python, Node.js, React, Flask), driving clean, modular deployment on GCP while optimizing prompt workflows.

Python SQL Machine Learning Generative AI Agentic AI Google ADK A2A

Research Collaborator

S&PGlobal/Yeshiva University

Apr 2023 - Aug 2023 (4 months)

Developed a CNN-based climate forecasting model, orchestrating an end-to-end ML pipeline performing EDA, feature engineering and statistical modeling for NASA's satellite data, achieving a fivefold improvement in predictive performance.

Python Statistical Modeling

Senior Applied Data Scientist

Tesco

Jul 2022 - Dec 2022 (5 months)

Spearheaded the design and deployment of NLP-driven recommender systems, leveraging SQL & Python to drive targeted marketing strategies like NPS & CLTV, directly resulting in a 15% increase in sales by improving customer purchase predictions and ROI. Collaborated with cross-functional UK stakeholders to optimize retail operational strategies and inventory management boosting customer satisfactio

NLP Recommender Systems SQL Python Marketing Strategies

Business Technology Solutions Associate

ZS Associates

Jun 2021 - Jul 2022 (1 year 1 month)

• Led technology solution projects for large scale healthcare datasets, optimizing ETL data pipelines and SQL queries using agile methodologies, ultimately achieving 100% project delivery milestones.
• Collaborated with the cross-functional teams, improving KPI performance through strategic data processing and Qlik dashboards.

ETL Data Pipelines SQL Agile Methodologies

Patent Analyst

MaxVal Group Inc.

Jan 2018 - Oct 2019 (1 year 9 months)

• Conducted detailed patent searches, leveraging Tableau to improve data integrity and generate technology trend reports.
• Optimized patent search platform through strategic SEO improvements, increasing search accuracy and user engagement.

Tableau Data Integrity