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Sanya Kumari

Sanya Kumari

Software Engineer Intern

India 0+ yrs exp 71 · Very Good

About

No bio added yet

Skills & Expertise (47)

Python Advanced
8.5/10
1
Years Exp
FastAPI Advanced
8.0/10
1
Years Exp
Flask Advanced
8.0/10
1
Years Exp
JavaScript Intermediate
7.5/10
1
Years Exp
React Intermediate
7.5/10
1
Years Exp
Git Intermediate
7.0/10
1
Years Exp
Typescript Intermediate
7.0/10
1
Years Exp
SQL Intermediate
7.0/10
1
Years Exp
Node.js Intermediate
7.0/10
1
Years Exp
Microservices Intermediate
7.0/10
1
Years Exp
Docker Intermediate
7.0/10
1
Years Exp
Unit Testing Intermediate
7.0/10
1
Years Exp
Kubernetes Intermediate
6.5/10
1
Years Exp
Data Structures & Algorithms Intermediate
6.5/10
1
Years Exp
Azure AWS Postman MySql MongoDb Postgresql GitHub Pydantic Pytest LangChain Object-Oriented Programming Operating systems DBMS Computer Networks System Design API Design C++ Express.js REST APIs GraphQL Socket.IO AsyncIO Integration Testing Debugging scikit-learn Tailwind CSS HTML LLM Applications Retrieval-Augmented Generation Model Context Protocol Vector Databases NumPy Pandas

Work Experience

Software Engineer Intern

Intuit

Jan 2026 - Jul 2026

Built a schema-driven Python Data Layer SDK exposing REST and GraphQL APIs, consumed by 3 production services, enabling standardized access to financial and benchmarking APIs across business domains and reducing integration effort by 60%. Designed and deployed an LLM-powered Explainable Benchmarking Service using FastAPI, graph-based causal inference, AsyncIO, and resilient orchestration pipelines to generate benchmark insights across millions of customer financial records. Improved production reliability through robust unit and integration testing with Pytest and automated Jenkins CI and Argo CD deployment pipelines. Built an automated AI evaluation pipeline using Python, browser automation, and live QuickBooks data validation to generate ground-truth datasets and evaluate LLM responses, reducing evaluation time by 80%, increasing evaluation throughput by 2×, and eliminating manual review effort. Built an automated RAG feedback pipeline integrating Amazon S3, internal feedback APIs, and scheduled processors to continuously collect, aggregate, and evaluate retrieval quality across 3 services, improving the reliability, scalability, explainability, and observability of production systems and reducing latency by 40%.

Software Engineer Intern

Microsoft

May 2025 - Jul 2025

Built an AI-powered documentation synchronization platform using LangChain, ChromaDB, Hugging Face Embeddings, and LLaMA 3. Implemented a RAG pipeline for semantic search, context-aware documentation updates, and natural language querying across Azure DevOps Wikis. Developed and deployed a Flask REST API on Azure App Service, integrated with Microsoft Copilot Studio through a Power Platform Custom Connector, enabling automated documentation generation using semantic search. Optimized prompt engineering, embedding retrieval, and vector indexing to improve documentation accuracy and workflow efficiency by 40–60%, reducing manual effort by 6–8 hours/week.

Education

B.Tech in Electrical Engineering - National Institute of Technology Jamshedpur

2022 - 2026 · Afghanistan

Class XII - CBSE - Kendriya Vidyalaya Ranchi

2021 - 2022 · Afghanistan

Class X - CBSE - Cambrian Public School Ranchi

2019 - 2020 · Afghanistan

Certifications

No certifications added yet

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 0/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 6/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 71/100

Profile Overview

Member sinceAug 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation

Skills (47)

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