Monesh Venkul Vommi
Verified Expert in Engineering
Full-stack Developer
Visakhapatnam, Andhra Pradesh, India
Toptal member since April 2, 2026
Monesh is a full-stack and AI engineer with 7+ years of experience in fintech, enterprise, and edtech. He specializes in production RAG pipelines, distributed systems, and AI applications using LangChain, OpenAI, and Pinecone. At Fidelity Investments, he built the team's first RAG pipeline—adopted by three teams within four weeks—scaled APIs to serve over a million users, and architected microservices handling 500,000 daily transactions. Monesh is also an AWS Certified Solutions Architect.
Portfolio
Experience
- Docker - 7 years
- Java - 5 years
- Python - 5 years
- SQL - 5 years
- Machine Learning - 3 years
- LangChain - 3 years
- Vue - 3 years
- Neo4j - 2 years
Preferred Environment
Visual Studio Code (VS Code), PyCharm, Docker, GitHub, Slack, Postman, IntelliJ IDEA
The most amazing...
...solution I've built is a production RAG pipeline at Fidelity, enabling wealth managers to query financial documents in plain English.
Work Experience
Senior Software Engineer
Fidelity Investments
- Launched the team's first production RAG pipeline with LangChain and Pinecone, enabling wealth managers to query thousands of financial documents in plain English, picked up by three enterprise teams within four weeks of release.
- Slashed complex financial relationship query latency by 58% by replacing relational SQL schemas with a Neo4j graph database, enabling multi-hop traversal across client portfolio networks.
- Improved front-end time to interactive by 32% by migrating the advisor portal from Create React App (CRA) to Next.js 14 with server-side rendering and Bun as the JavaScript runtime.
- Ran internal workshops on LangChain and RAG patterns for four engineers, reducing AI feature onboarding time by three weeks across two product squads.
Senior Full-stack Developer
Ascendion
- Architected and deployed microservices-based ERP modules using Vue and Node.js, reducing page load time by 40% and improving user experience for 500+ enterprise clients.
- Built an automated end-to-end testing suite with Playwright, achieving 85% test coverage and reducing production bugs by 60% across quarterly release cycles.
- Optimized PostgreSQL and Redis caching strategies, improving API response times by 50% and supporting high-availability deployments using Docker and Kubernetes on AWS.
- Integrated GraphQL APIs with real-time data synchronization using Redis pub/sub, enabling live dashboard updates for over 200 concurrent business users with sub-second latency.
Full-stack Developer
StemSims
- Developed interactive STEM simulation modules using React and Django, improving student engagement metrics by 35% and expanding platform usage to more than 10,000 learners.
- Built RESTful APIs with the Django REST Framework and MongoDB, reducing data retrieval latency by 45% and enabling seamless integration with 3rd-party educational content providers.
- Deployed scalable application infrastructure on Amazon EC2 and S3, achieving 99.9% uptime and supporting concurrent access for more than 1,000 students during peak academic sessions.
Software Developer
HCL Technologies
- Developed and maintained Java-based microservices using Spring Boot, delivering over 15 REST API endpoints that served more than 50,000 daily active users across enterprise client applications.
- Automated CI/CD pipelines with Jenkins and integrated SQL database query optimization, reducing deployment cycles by 30% and improving application performance by 25%.
- Collaborated with cross-functional teams to design and implement RESTful web services, resulting in a 20% reduction in system downtime and improved client satisfaction scores.
Experience
Financial Document RAG Pipeline
Education
Master of Science Degree in Business Analytics
University of New Haven - West Haven, CT, USA
Bachelor of Engineering Degree in Computer Science
Sathyabama University - Chennai, India
Certifications
Microsoft Azure Solutions Architect Expert
Microsoft
AWS Certified Solutions Architect – Associate
Amazon Web Services
AWS Certified Developer – Associate
Amazon Web Services
Skills
Libraries/APIs
Node.js, Hugging Face Transformers, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Keras, Matplotlib, Vue, Playwright, React, REST APIs
Tools
PyCharm, GitHub, Slack, Postman, IntelliJ IDEA, Jenkins
Languages
Python, SQL, Java, GraphQL, TypeScript
Frameworks
LangGraph, Streamlit, Flask, Tailwind CSS, Selenium, React Native, Next.js, Django, Spring Boot, AWS HA
Platforms
Visual Studio Code (VS Code), Docker, LangSmith, Jupyter Notebook, Kubernetes, AWS IoT, Azure
Storage
Neo4j, Redis, PostgreSQL, MongoDB, Databases
Other
Machine Learning, GitHub Actions, CI/CD Pipelines, Web Scraping, Retrieval-augmented Generation (RAG), WebSockets, Real-time Data, Data Analytics, LangChain, Pinecone, OpenAI, FastAPI, APIs, Agentic AI, Full-stack, Generative Artificial Intelligence (GenAI), Minimum Viable Product (MVP), Product Management, Prompt Engineering, API Integration, Architecture, Artificial Intelligence (AI), Large Data Sets, AI Tools
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