Sachin Rajan

About Sachin Rajan

AI Architect with 8+ years of experience designing and deploying end-to-end machine learning systems across EdTech, FinTech, InsurTech, and HealthTech. I specialize in building multi-agent AI systems using LLMs, RAG, document intelligence, and vision-language models.Recent work includes: Building a full-stack educational content generation platform—extracting data from textbooks via PDF layout parsers, storing it in Milvus, and generating dynamic content styled as rap, stories, or songs. Creating a multimodal video summarization system that parses YouTube transcripts and delivers 10-sec microlearning clips powered by VLMs. Deploying TTS modules, knowledge graphs (Neo4j), and LLM evaluation tools (Arize Phoenix, LangTrace) into production pipelines. Training Stable Diffusion models to generate defect imagery for CV classification. Building real-time pose detection apps, OCR engines, and visual product search for domains ranging from fashion to insurance to health.I ship fast, debug harder, and don’t break under pressure. If your project needs AI that works in the real world—not just research papers—I’m your guy.

Experience

1. Senior Ai Scientist

   Techstax

   Oct 2025 — Present

   Architected and developed a scalable AI workflow automation platform using FastAPI, PostgreSQL, Redis, and Docker, supporting multi-agent coordination with intelligent workflow planning through Chain of Thought (CoT) prompting and local/cloud LLM integrationBuilt enterprise-grade microservices architecture with OAuth2 authentication, real-time streaming (SSE), async task processing, and 150+ RESTful API endpoints serving concurrent users with zero-downtime deploymentImplemented intelligent agent selection and dynamic workflow generation using LLM-based analysis, RAG (Retrieval-Augmented Generation), and multi-provider AI integration (AWS Bedrock, Anthropic Claude, OpenAI) for complex task automationDeveloped OAuth2-compliant integration system with Microsoft 365, Slack, and Google Workspace connectors, implementing PKCE security, automated token management, and enterprise-grade API gateway with intelligent model routing

Education

• Amrita School of Engineering

  Master's degree, Remote Sensing

  2015 — 2017

• Sams College of Engineering and Technology

  Bachelor's degree, Naval Architecture and Marine Engineering

  2009 — 2013

Skills

• Machine Vision
• Caffe
• Tensorflow
• Sql
• Linux
• Hyper Spectral Image Processing
• Python
• Machine Learning
• Cuda
• Linear Algebra
• Image Processing
• Neural Networks
• Deep Learning
• Algorithms
• Opencv
• Ubuntu
• C++
• C
• Programming
• Optimization
• Matlab
• Keras
• Computer Vision
• Natural Language Processing