CAREER CHRONOLOGY

Professional Experience

A 3-stage evolution: 2 years in robotics engineering, 1 year in production Python backend systems, and promoted to AI/ML Engineer in September 2026.

PROMOTED TO AI/ML ENGINEER

AI / ML Engineer

Creative Bees
Sept 2026 – Present Coimbatore, Tamil Nadu, India
  • Promoted to lead production AI initiatives: architecting autonomous Agentic AI loops using LangChain and LangGraph for dynamic planning and multi-tool orchestration.
  • Developing high-throughput multimodal Vision-Language (VLM) pipelines (Qwen3, FireRedOCR) for unstructured document intelligence and zero-shot entity extraction.
  • Engineering and serving containerized Deep Learning inference microservices with FastAPI and Docker, achieving sub-200ms latency for production workloads.
  • Designing vector search retrieval architectures (RAG) powered by FAISS and dense transformer embeddings, boosting context precision and reducing model hallucination.
Agentic AIVision-Language Models (VLM)PyTorchLangChainLangGraphFastAPIDockerRAG SystemsFAISS

Python Developer

Creative Bees
Aug 2025 – Aug 2026 (1 Year)Coimbatore, Tamil Nadu, India
  • Built and scaled core Python backend microservices, RESTful APIs, and asynchronous message workers for business software applications.
  • Engineered automated data ingestion and preprocessing pipelines, ensuring 99.9% uptime and reliable integration across disparate data sources.
  • Integrated machine learning prototypes and OCR services into customer-facing web and mobile applications, laying the groundwork for full-scale AI adoption.
  • Conducted code reviews, unit testing, and Docker containerization to streamline CI/CD deployment cycles.
PythonFastAPIMicroservicesREST APIsDockerPostgreSQLData PipelinesBackend Architecture

Robotics Engineer

Robomatic
Jun 2023 – Jul 2025 (2 Years)Coimbatore, Tamil Nadu, India
  • Served 2 years engineering embedded robotics control systems, sensor interfacing, and hardware-software communication protocols.
  • Trained and mentored 150+ students and technical professionals in Python fundamentals, software testing, quality assurance, and applied engineering.
  • Conducted extensive hands-on technical workshops covering machine learning concepts, computer vision fundamentals, and sensor automation pipelines.
  • Maintained lab hardware testbenches, automated test suites, and guided learners from theoretical algorithms to functional, working physical prototypes.
Robotics SystemsEmbedded SystemsSensorsPythonSoftware TestingQuality AssuranceTechnical Mentorship