Tharika Balasubramanian — Software Engineer

As a Data Scientist at Ford-GDIA in Chennai, I specialize in Machine Learning Enablement, driving data-driven decision-making at scale. With a B.Tech in Artificial Intelligence and Data Science, I am dedicated to crafting innovative ML solutions that optimize enterprise data utilization and maximize business impact. Currently, I am spearheading the development of a Retrieval-Augmented Generation (RAG) system. This cutting-edge project leverages Large Language Models (LLMs) with advanced retrieval mechanisms, we are enhancing metadata generation, improving search relevance, and streamlining data comprehension across the organization. Beyond my technical prowess, I am a fervent advocate for knowledge sharing and collaboration. I thrive in dynamic environments and am passionate about solving complex challenges. I continually seek to explore the latest advancements in Generative AI, AutoML, and scalable AI architectures, ensuring that my work is at the forefront of technological innovation. Let’s connect to discuss how AI and ML can transform data into actionable intelligence and drive innovation in your organization! Technical Skills Cloud & Infrastructure - Google Cloud Platform (GCP): Cloud Run, BigQuery, Cloud Storage, Pub/Sub, Vertex AI, Cloud Functions, Cloud SQL, Artifact Registry, IAM - Infrastructure as Code & Orchestration: Terraform AI / LLM / Agent Development - LLM Orchestration & Agent architectures - Retrieval-Augmented Generation (RAG) - Agentic AI workflows - LangChain, LangGraph (agent orchestration), LangSmith (observability/evaluations) - Prompt engineering, Pydantic Backend / API Development - Python (Flask, FastAPI) - RESTful API design & development MLOps & DevOps - Version Control: Git - Containerization: Docker - CI/CD & Pipelines: Tekton - API Testing & Collaboration: Postman, Hoppscotch Languages & Scripting - Python, SQL Databases & Search / Similarity - Relational Databases: PostgreSQL (with PgAdmin) - Search & Analytics: Elasticsearch - Vector stores / embeddings: ChromaDB, Pinecone, FAISS - Indexing & abstraction layers: LlamaIndex AI / ML / Data Science - Domains & Concepts: Machine Learning, Deep Learning, NLP, Generative AI - Frameworks & Libraries: TensorFlow, Keras, PyTorch, Scikit-learn, NLTK - Data Handling & Analytics: Pandas, NumPy, EDA, data preprocessing - Visualization: Matplotlib, Plotly

Stackforce AI infers this person is a Data Scientist specializing in Machine Learning and Generative AI solutions.

Location: Chennai, Tamil Nadu, India

Experience: 2 yrs 1 mo