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Chiru Chaitanya

Chiru Chaitanya

Full Stack AI Engineer

Talent
Kochi, KeralaMember since June 17, 2026
LLMsRAGAgentic AIAgentic WorkflowsPrompt EngineeringNLPComputer VisionYOLO (YOLOv8)TensorFlowPyTorchScikit-learnOpenCVOpenAI APIGemini APIClaudeHugging FaceBERTPythonFastAPIDjangoFlaskREST APIsSQLAlchemyCeleryOOPReactJavaScriptHTML5CSS3Tailwind CSS
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LLMsRAGAgentic AIAgentic WorkflowsPrompt Engineering

About

Python AI Full Stack Developer with 1+ year of experience building production-grade AI systems and full stack applications. Designed and deployed LLM integrations, RAG pipelines, agentic workflows, and computer vision solutions using Python, FastAPI, and React. Delivered three end-to-end MVPs at Accufy covering tax automation, document intelligence, and invoice generation. Works across the full stack, from model training and API development to containerized deployment on GCP.

Experience

Python AI Full Stack Developer at Accufy (2024-04 – Present)

Key Projects: ITR1 - AI-driven tax return automation that generates a submission-ready ITR JSON for direct upload to the tax portal. INVGPT - Agentic pipeline that automates PO, quotation, and invoice generation with full record management. Document Processors - OCR and ML pipeline converting scanned and digital financial documents into structured JSON/CSV formats.

  • Built and deployed RAG pipelines and agentic AI workflows for automated financial document processing, reducing manual data entry by ~50%.
  • Integrated OpenAI and Gemini APIs for intelligent document parsing, tax predictions, and domain-specific Q&A; applied prompt engineering to improve response accuracy to ~85-90%.
  • Trained and deployed YOLOv8-based computer vision models for real-time analytics, reducing order processing errors at production scale.
  • Developed NLP models (BERT, NLTK, LDA topic modelling) for semantic search and text classification on financial data.
  • Reduced document processing time by ~35% by building an OCR pipeline handling both scanned and digital financial documents.
  • Containerized services with Docker and configured CI/CD pipelines using GitHub Actions for automated testing and deployment on GCP.
  • Built RESTful APIs with FastAPI and Django; architected services using microservices patterns and YAML-based configurations.
  • Developed React frontend with Tailwind CSS and Redux; integrated Razorpay payment gateway with SSO/SAML authentication.
  • Automated ETL workflows and connected ERI APIs to fetch AIS/TIS financial statements for seamless data ingestion.
  • Worked in Agile/Scrum; used Git, Jira, and Confluence for version control and team collaboration.

SAP MM Operations Consultant at Greenko Groups (2021-09 – 2022-04)

  • Managed SAP MM operations for wind energy plant; interfaced logistics and financial SAP systems via ALE/IDocs.
  • Developed a wind prediction model in Excel using historical data; automated PO workflows and email notifications via SAP Workflow.

Education

B.Tech in Computer Science & Engineering – Swarnandhra Institute of Engineering & Technology (JNTUK Affiliated) (2022-06 – 2025-04)

Diploma in Electrical & Electronics Engineering – SMVM Polytechnic College (2017-06 – 2020-04)

Skills

Full Stack AI Engineer

Reviews

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