Full-Stack Software Engineer specializing in AI/GenAI systems, RAG pipelines, and agent architectures, with a strong focus on cloud-native backends. I build end-to-end products—from architecture and retrieval pipelines to deployment—using a pragmatic, ownership-driven approach. I have hands-on experience building production AI agents for enterprise orchestration, citation-backed RAG systems for high-stakes domains, and responsive full-stack interfaces with async processing and real-time feedback.…

Samridhhi Sharma

Full-Stack Software Engineer specializing in AI/GenAI systems, RAG pipelines, and agent architectures, with a strong focus on cloud-native backends. I build end-to-end products—from architecture and retrieval pipelines to deployment—using a pragmatic, ownership-driven approach. I have hands-on experience building production AI agents for enterprise orchestration, citation-backed RAG systems for high-stakes domains, and responsive full-stack interfaces with async processing and real-time feedback.…

Available to hire

Full-Stack Software Engineer specializing in AI/GenAI systems, RAG pipelines, and agent architectures, with a strong focus on cloud-native backends. I build end-to-end products—from architecture and retrieval pipelines to deployment—using a pragmatic, ownership-driven approach.
I have hands-on experience building production AI agents for enterprise orchestration, citation-backed RAG systems for high-stakes domains, and responsive full-stack interfaces with async processing and real-time feedback.

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Skills

Experience Level

MongoDB
Expert
TypeScript
Expert
Tailwind
Expert
Redis
Expert
React JS
Expert
Python
Expert
PostgreSQL
Expert
Node.js
Expert
MySQL
Expert
AI Chatbot
Expert
Large Language Model
Expert
JavaScript
Expert
GraphQL
Expert
Golang
Expert
Express
Expert
DynamoDB
Expert
Docker
Expert
AWS
Expert
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Language

English
Fluent

Work Experience

Software Engineer at Capri AI (Atlanta, GA, USA) (Remote)
January 1, 2025 - Present
Architected a production-grade AI Agents Builder integrating Google Calendar, Slack, and GoHighLevel for multi-provider enterprise orchestration. Built an end-to-end RAG pipeline (ingestion → chunking → embeddings → vector search) powering a Knowledge Source module to train agents on proprietary documents. Integrated multi-provider webhooks for real-time event-driven workflows such as automated meeting scheduling and inbound lead response. Delivered a Prompt Library for dynamic creation, management, and application of instructional prompts across bot configurations. Developed a full-stack document training interface with async job queuing and real-time user feedback for training status.
Software Developer Intern at Freudia Jaipur, India (Remote)
October 1, 2024 - December 31, 2024
Built the Find Therapists module enabling employees to search profiles and book sessions via real-time availability slots, improving access for enterprise users. Developed RESTful APIs for new organization onboarding, including multi-tenant URL provisioning and SSO-based access control via the Super-Freudia admin app. Streamlined the client onboarding flow, reducing manual setup steps and accelerating feature configuration for new enterprise clients. Stack: JavaScript, TypeScript, React, Node.js, Express, MongoDB.

Education

B.Tech in Information Technology (CGPA: 8.65/10.0) at Indore Institute of Science and Technology
October 1, 2022 - January 1, 2026

Qualifications

AWS Cloud Foundations (AWS Academy)
January 11, 2030 - August 20, 2026
RAG with LLMs (DeepLearning.AI)
January 11, 2030 - August 20, 2026
AWS Cloud Foundations
January 11, 2030 - August 20, 2026
RAG with LLMs (DeepLearning.AI)
January 11, 2030 - August 20, 2026

Industry Experience

Healthcare, Software & Internet, Financial Services, Education, Professional Services, Computers & Electronics
    AI Powered Stock Prediction

    – Built a full-stack AI-powered stock prediction application using Facebook Prophet, enabling users to analyze trends and
    forecast future stock prices with machine learning.
    – Designed a high-performance FastAPI backend with RESTful endpoints for model inference, integrated with a React (Vite)
    frontend for interactive data visualization.
    – Containerized the entire application using Docker Compose with a multi-service setup; served the frontend via Nginx and
    deployed to cloud for public access.
    – Stack: Python, FastAPI, Prophet, Pandas, React, TypeScript, Docker, Nginx

    MedRAG - Clinical Q&A RAG System

    – Built a production-ready RAG system for clinical Q&A delivering citation-backed LLM responses over large-scale medical
    document corpora.
    – Designed a scalable retrieval pipeline with semantic search via pgvector on PostgreSQL, enabling sub-100ms low-latency
    retrieval over high-dimensional embeddings.
    – Architected a modular backend with FastAPI and a Node.js/Express API gateway; delivered real-time streaming LLM
    responses with source attribution for a high-stakes medical domain.
    – Stack: Python, FastAPI, Node.js, PostgreSQL, pgvector, React, AWS, Docker, Jenkins