# Srinitya K.

> Software Engineer | AI/ML · Full-Stack · RAG · LLMs | Python · React · AWS · PyTorch · LangChain | MS CS Engineering, ASU

Location: United States, United States
Profile: https://flows.cv/srinitya

Software Engineer with 1.5 years of industry experience at Optum (UnitedHealth Group) and a Master's in Computer Engineering from Arizona State University (4.0 GPA). I build production systems across the full stack and the AI/ML pipeline — from React frontends and Spring Boot microservices to RAG architectures, LLM-powered applications, and multilingual NLP.
 
I also contribute to open source — I have a merged PR to Pandas core fixing an internal indexing bug in PyArrow-backed DataFrames.
 
Currently building backend infrastructure at Teaching Solved, designing Elasticsearch-powered multilingual search using Next.js, TypeScript, and AWS.
 
Core stack: Python, Java, TypeScript, React, Next.js, Spring Boot, AWS, PyTorch, Hugging Face, LangChain, FAISS, Neo4j, Elasticsearch, PostgreSQL, Docker, GitHub Actions.

## Work Experience
### Junior Full Stack Developer - Backend Focus @ Teaching Solved
Jan 2026 – Present | United States
• Develop backend web infrastructure for the Lesson Magic platform using a modern tech stack including Next.js, TypeScript, AWS, Neon databases, and Vercel.
• Implement Elasticsearch fuzzy matching and indexing strategies to optimize typo-tolerant, multilingual (Spanish, French, and ELL) search across educational resources.
• Design and maintain a deduplication system across 3 indices (147 documents) to improve search accuracy and relevance.

### Graduate Services Assistant - Research @ Ira A. Fulton Schools of Engineering at Arizona State University
Jan 2024 – Jan 2025 | Tempe, Arizona, United States
Low-Resource ASR via Multilingual Transfer Learning | Python, PyTorch, Hugging Face Transformers, Open AI Whisper
•	Engineered a full training pipeline using Hugging Face, implementing cross-lingual transfer learning from Sinhalese to process the Dhivehi dataset.
•	Achieved a 112% relative improvement in Word Error Rate (WER), reducing it from the baseline to 14.1% in 500 training steps.
•	Assisted the professor in grading student assignments, providing constructive, timely feedback and ensuring fair evaluation.

Training a Custom Causal Language Model on Python Data Science Stack | Python, PyTorch, HF Accelerate, Transformers, GPT-2
•	Fine-tuned GPT-2 (124M parameters) on curated code for data science Python libraries to create an intelligent code completion system, leveraging Hugging Face Transformers and Accelerate for distributed training.
•	Achieved 56.06 perplexity score using custom loss functions prioritizing data science tokens, with optimized learning rate scheduling and real-time training analytics.

### Open Source Developer - Core Member @ Pandas
Jan 2025 – Jan 2025
•Resolved an internal indexing bug in Pandas that caused ‘iloc’ to fail for pyarrow backed data frames; implemented proper type-aware handling using ‘_reduce’ to support extension dtype. PR #61924

### Software Engineer @ Optum
Jan 2022 – Jan 2023 | Hyderabad, Telangana, India
•	Owned the development of 2 reusable React features and RESTful services using Spring Boot integrating Elasticsearch for optimized search and data retrieval.
•	Developed and maintained database migration scripts using SQL to manage reference data cleanup and rollback, ensuring reliability for applications serving 5M+ Optum customers.
•	Authored, triaged, and debugged over 200 UI/API automation scripts using XPath, Java, Playwright, Cucumber, and Gherkin, cutting manual QA time by 80%.
•	Implemented a GitHub Actions CI pipeline for automated testing and report generation (HTML & PDF), saving 4+ engineer-hours per daily run and accelerating release cycles. Contributed to peer reviews and sprint planning.
•	Leveraged SonarQube for code analysis, and achieved 96% unit test coverage across 2 micro-products through TDD practices.


## Education
### Master's Degree at School of computing and augmented intelligence (SCAI) in Computer systems Engineering
Ira A. Fulton Schools of Engineering at Arizona State University

### Bachelor of Technology - BTech in Electrical and Electronics Engineering
G Narayanamma Institute of Technology and Sciences

### Master of Science in Computer Engineering Technologies/Technicians
Arizona State University

### Bachelor of Technology in Electrical and Electronics Engineering
G Narayanamma Institute of Technology and Sciences


## Contact & Social
- LinkedIn: https://linkedin.com/in/srinitya-kondapally

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Source: https://flows.cv/srinitya
JSON Resume: https://flows.cv/srinitya/resume.json
Last updated: 2026-04-05