Full-Stack Software Engineer
Saumyae Joshi
I build production software end to end — enterprise .NET APIs, Angular/React frontends, and the GenAI systems (RAG pipelines, embeddings, vector search, local LLM integration) in between when the problem calls for it.
- 92% mAP
- Real-time detection accuracy
- ~30% faster
- Query response after optimization
- 100% offline
- Zero-data-egress RAG pipeline
- Live in prod
- Enterprise tool in active use
My Story
Why I build end to end
I never wanted to own just one layer of a product. In college I kept gravitating toward the pieces that connected everything — the API, the data model, the UI on top — so when it was time to specialize, I didn't. Today I'm a full-stack engineer building enterprise systems: ASP.NET Core APIs, Angular frontends, SQL Server underneath, shipped on Azure.
Outside day-to-day enterprise work, I follow the problems that stretch me — a computer-vision safety system for railway platforms, an offline RAG chatbot built solo for a hackathon judged by a clinical-data nonprofit. Same habit every time: understand the whole pipeline before trusting any one layer of it.
Based in Hyderabad, India
Oct 2020
B.Tech in Computer Science begins
2024
Computer Vision Internship
Sparsh Securitech
Feb 2025
PG Diploma, Advanced Computing
CDAC
Nov 2025
Software Engineer
Present
Services
What I can build for you
End-to-end delivery across the stack — from the data layer to the UI, with AI integration when the problem calls for it.
Full-Stack Web Applications
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Full-Stack Web Applications
End-to-end delivery from data model to UI — ASP.NET Core or Spring Boot APIs, an Angular or React frontend, and a properly indexed SQL data layer underneath, shipped as one coherent product rather than handed off in pieces.
Applied AI & GenAI Systems
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Applied AI & GenAI Systems
RAG pipelines, embeddings, and vector search — including fully offline/local LLM integration for teams that can’t send data to a third-party API.
Cloud & DevOps
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Cloud & DevOps
Azure-hosted delivery with CI/CD pipelines, Clean Architecture, and SOLID principles built in from the first commit — not bolted on afterward.
Computer Vision & ML
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Computer Vision & ML
Real-time detection pipelines tuned for accuracy and throughput together — a model that’s only accurate at 2 FPS doesn’t ship.
Tools & technologies
Languages
Frameworks
Cloud & Platforms
Concepts
Other Tools
Case Studies
Selected work
A mix of enterprise, full-stack, and applied-AI work — some public, some sanitized or kept generic where the work isn't mine to show.
Track Record
Where I’ve delivered
Software Engineer
Nov 2025 – Present
Hyderabad, India
- Built and maintained scalable RESTful APIs using ASP.NET Core and C#, applying OOP, SOLID principles, and Clean Architecture patterns for maintainable enterprise code.
- Developed modular, reusable UI components with Angular and TypeScript, improving frontend performance, code reusability, and cross-team consistency.
- Designed and managed relational data models using SQL Server (SSMS) and Entity Framework Core, including schema design, EF migrations, and query optimization for improved database performance.
- Leveraged Microsoft Azure services for cloud hosting and integrated Azure DevOps pipelines for streamlined CI/CD workflows.
- Followed Agile/Scrum practices — active in sprint planning, daily standups, and code reviews — ensuring delivery of high-quality, production-ready features.
Computer Vision Intern · Sparsh Securitech
2024
Noida, India
- Built a proof-of-concept (POC) computer vision system for Indian Railways to detect missing safety measures at level crossings, triggering automated alerts in real time.
- Improved ML model accuracy by 18% and reduced inference latency by 40% through data augmentation, model fine-tuning, and optimization techniques.
- Applied OpenCV for image processing and manipulation pipelines in Python, gaining hands-on production experience in real-time CV applications.
Credentials
Education & credentials
Post Graduate Diploma in Advanced Computing
Centre for Development of Advanced Computing (CDAC)
Feb 2025 – Aug 2025 · GPA 7.6 / 10
Bachelor of Technology (B.Tech)
Bharati Vidyapeeth's College of Engineering
Oct 2020 – Jul 2024 · GPA 8.6 / 10
Achievements
Machine Learning Specialization
Coursera — Andrew Ng / DeepLearning.AI
150+ LeetCode Problems Solved
Data Structures & Algorithms — Arrays, Trees, Dynamic Programming, Graphs.
Former Competitive Athlete
Discipline, resilience, and high-performance team collaboration.
Start a Project
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