sourab gairola
@sourabgairola
AI Developer building LLM-powered automation and AI agents with Python and React.
What I'm looking for
I’m an AI Developer focused on building LLM-powered automation systems, AI agents, and full-stack applications that reduce manual effort and deliver reliable, scalable AI solutions. I work across RAG architectures, multi-step pipelines, and API-driven workflows, turning models into production-grade behavior.
As Founder & AI Automation Developer at Bright Ripple Studios, I built n8n-based lead collection and CRM enrichment pipelines integrated with HubSpot, plus automated outreach triggered by Google Sheets updates. I also engineered an end-to-end medical report generation system in Odoo and designed document processing and chatbot workflows using OpenAI APIs, secure webhooks, and scalable databases.
Previously, as an AI Engineer at Kangaroo Alphabet, I built a generative AI enterprise knowledge assistant with RAG (ChromaDB + OpenAI) using FastAPI backends and a React frontend. I led NLP-heavy document ingestion pipelines, improved response quality with prompt engineering to reduce hallucinations, and containerized/deployed services on Azure with Docker and CI/CD while collaborating with frontend, QA, and BA teams.
Experience
Work history, roles, and key accomplishments
Founder & AI Automation Dev
Bright Ripple Studios
Sep 2025 - Present (9 months)
Built LLM-powered lead collection and CRM enrichment pipelines in n8n using Firecrawl/Apify APIs integrated with HubSpot, plus automated email outreach from Google Sheets updates. Developed an Odoo medical-report generation system and document processing/chatbot workflows using OpenAI APIs and secure webhooks.
AI Engineer
Kangaroo Alphabet
Aug 2024 - Aug 2025 (1 year)
Built a RAG-based generative AI enterprise knowledge assistant with ChromaDB/OpenAI using FastAPI for embeddings and semantic search across PDFs. Led React frontend development and automated document ingestion (PDF parsing, chunking, embeddings) while applying prompt engineering and deploying services on Azure with Docker and CI/CD.
Developed a CNN digit recognition model achieving 96% accuracy and built a Q-learning RL agent for maze navigation with 94% path optimality. Created ML pipelines for data engineering, feature validation, and model evaluation using NumPy and TensorFlow/Keras.
Education
Degrees, certifications, and relevant coursework
UPES Dehradun
Master of Computer Applications (MCA), AI & Machine Learning
2022 - 2024
Grade: 7.9 / 10
Master of Computer Applications (MCA) with a focus on AI and Machine Learning at UPES, Dehradun. GPA: 7.9/10.
DIMR Rishikesh
Bachelor of Computer Applications (BCA), Computer Applications
2020 - 2022
Grade: 7.5 / 10
Bachelor of Computer Applications (BCA) from DIMR Rishikesh. GPA: 7.5/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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