Manan Patel
Software Engineer
Passionate about building AI-powered systems and leveraging cutting-edge LLMs and RAG technologies to solve complex problems. Currently building real-time emotion detection systems at Amotions Inc., with expertise in production-grade AI applications.
About Me
Hi, I'm Manan!
I'm a software engineer currently working at Amotions Inc. in San Francisco, building AI systems for real-time emotion and speaker detection. With a Master's in Computer Science from California State University, East Bay (GPA: 3.57) and a Bachelor's in Computer Engineering from Gujarat Technological University (GPA: 3.8), I specialize in distributed systems, scalable architectures, and cutting-edge AI/ML technologies.
Currently, I'm developing an MCP server-based multi-agent framework where detection, reasoning, and feedback agents collaborate for context-aware responses. My work involves creating FastAPI microservices with Redis and AWS ECS, improving inter-agent latency by 35%. Previously at Paul Mason Consulting, I implemented Python inference services that made checkout processes 45% faster, designed fraud detection systems with Isolation Forest, and delivered ML microservices that boosted cart conversions by 25%.
I'm passionate about leveraging LangChain, OpenAI, and multi-agent systems to solve complex problems. My expertise spans from building scalable RAG systems to designing FastAPI microservices with Redis caching, all while ensuring high performance and reliability in production environments.
Technical Skills
Programming Languages
Databases
Backend Development
Frontend Development
AI / ML
Infrastructure & DevOps
Cloud Platforms
Tech Radar
Interactive visualization of technical skills proficiency. Each point represents a technology, positioned by skill level and category.
Featured Projects
FlowAgent - Multi-Agent Productivity Platform
Built FlowAgent, a multi-agent productivity system that automates scheduling and follow-ups using LangChain, MCP, and GPT-4. Created Observer, Planner, and Executor agents collaborating via an MCP server for adaptive workflow automation. Developed FastAPI microservices with Redis memory and a React dashboard, deployed on Render.
Document Search Assistant using RAG
Built a scalable RAG-based system with LangChain and Hugging Face, enabling automated document retrieval and intelligent question-answering for large collections of text. Implemented HNSWlib vector search to manage embeddings and perform fast similarity lookups, improving query relevance and response time.
Rental Management Service
Designed a responsive frontend with Next.js (ReactJS), improving page rendering time by 50ms. Built backend APIs in Python FastAPI with MongoDB, enabling location-based search, calendar, and group-size filters to enhance user experience. Implemented authentication and hosting workflows enabling users to manage property listings.
LodgingHub: Full-Stack Platform
Engineered a full-stack web application replicating Airbnb's core features with React, Node.js, and Express. Designed RESTful APIs with payment gateway integration and optimized MongoDB for scalable data storage.
Vector Similarity Search Engine
Built a high-performance vector similarity search engine using HNSWlib and FastAPI, achieving sub-millisecond query times on 10,000+ documents. Deployed with AWS S3, Lambda, and Kubernetes for horizontal scalability.
MedScan: Medical Bill Interpreter
Trained an object detection model on 6,000+ medical bills using TensorFlow and OpenCV, achieving 85% accuracy in text extraction. Created a mobile app with Android Studio for seamless user interaction.
SmartSplit: Expense Tracking App
Built a Flutter-based expense tracking app with Firebase, featuring custom splits, OCR receipt scanning, real-time sync, and push notifications. Implemented smooth UI animations for intuitive UX.
Experience & Education
Software Engineer
Amotions Inc. - San Francisco, CA
- Building an AI system for real-time emotion and speaker detection to enhance LLM-based meeting insights using OpenAI, Gemini, and Pinecone
- Designing an MCP server-based multi-agent framework where detection, reasoning, and feedback agents collaborate for context-aware responses
- Creating FastAPI microservices with Redis and AWS ECS, improving inter-agent latency by 35% and ensuring scalable performance
Master of Science in Computer Science
California State University, East Bay - Hayward, CA
GPA: 3.57
Coursework in Operating Systems, Distributed Systems, Machine Learning, Computer Vision, and Natural Language Processing. Focus on advanced distributed systems, AI/ML algorithms, and scalable system design.
Software Engineer
Paul Mason Consulting - Vadodara, India
Clients: Crew Clothing, Morrisons
- Implemented Python inference services that replaced components of a legacy ML pipeline, allowing models to run in parallel and making the checkout process 45% faster for users
- Designed fraud detection diagnostics leveraging Isolation Forest and anomaly detection, with Prometheus and Grafana dashboards giving client fraud/ops teams real-time alerts and reducing fraudulent transactions
- Delivered a "Frequently Bought Together" recommendation microservice integrated into a monorepo ecosystem, applying ML-driven personalization that boosted cart conversions by 25%
- Worked with QA and DevOps to integrate ML microservices into Jenkins CI/CD pipelines using automated tests and Dockerized builds, improving deployment reliability
Software Engineer Intern
Paul Mason Consulting - Vadodara, India
- Built a FastAPI service to process real-time user events and persist results in PostgreSQL, exposing REST APIs that enabled other services in the retailer's checkout pipeline to access customer activity data
- Containerized and deployed the service with Docker on AWS EKS, making it scalable and easier for the platform team to manage in production
- Integrated OpenTelemetry monitoring to capture latency and error metrics, giving engineering teams visibility into bottlenecks and helping ensure reliable customer checkout flows
Bachelor of Engineering in Computer Engineering
Gujarat Technological University - Ahmedabad, India
GPA: 3.8
Strong foundation in computer science fundamentals, data structures, algorithms, and software engineering principles. Graduated with comprehensive knowledge in distributed systems and scalable architectures.
Get In Touch
Let's build something amazing together!
I'm always interested in discussing new opportunities, collaborating on innovative projects, or chatting about the latest in distributed systems and AI/ML. Feel free to reach out!