Avinash Rajaraman Swaminathan
Skills
Programming: Python | C++ | R | Javascript | Typescript | SQL | MongoDB | Oracle | Tensorflow | Pytorch | Bash
Techniques: Data Science | Predictive Modeling | Regression | Random Forest | XGBoost | SVM | Clustering | PCA | CNN | Deep Learning | LLMs (ChatGPT, LLaMA) | LangChain | Agentic Workflows (A2A, MCP, Google ADK, CrewAI, Microsoft Autogen) | Vector Databases (FAISS, Pinecone, pgvector) | NLP (Transformers, Text Generation) | SHAP | ASR | Computer Vision | Causal Inference (A/B testing) | Forecasting | MLFlow | MLOps | Hugging Face | Graph DBs | Vector DBs (FAISS, Pinecone) | Statistics | Web Scraping
Data Engineering & Cloud Infra: AWS (S3, EC2, Athena, DynamoDB, SageMaker, Bedrock) | GCP (Cloud Run, BigQuery, GCS, Pub/Sub, Vertex AI) | Azure (AI Foundry, OpenAI, AI Services, CosmosDB) | CI/CD | Data Visualization (Tableau, Qlik, Looker, Power BI) | ETL | SDLC | Agile | Apache (Hadoop, Hive, Airflow) | Git | Docker | Jira
Certifications: GCP Professional Machine Learning Engineer | AWS Cloud Practitioner | Salesforce: AI Associate
About
With a strong foundation in LLM's and Cloud Computing, I’ve transitioned from academic researcher to tackling real-world business challenges as a Data Scientist. Focus lies in designing scalable AI systems that deliver measurable impact and drive innovation. Explore my projects here: https://github.com/rsasmack.