Software Developer Full-Stack

Nitheesh Donepudi

813-***-**** # *************@***.*** ï www.linkedin.com/in/nitheeshd § github.com/Nitheesh0217 Summary

Experienced Software Developer with 2+ years of expertise in architecting and deploying production-grade systems for enterprise SaaS platforms. Specializes in full-stack development and generative technologies, delivering scalable solutions that enhance operational efficiency and user engagement. Proven track record of leveraging advanced algorithms to automate workflows, optimize performance, and solve complex challenges across regulated industries. Skills

Languages: Python, Java, TypeScript, SQL, C++

AI/ML & GenAI: RAG, BERT, Diffusion Models, Hugging Face, LangChain, Prompt Engineering, LoRA, Synthetic Data Generation

Frameworks & Cloud: FastAPI, Spring Boot, React, Next.js, GCP, Docker, Kubernetes Data & MLOps: SQL, PostgreSQL, Apache Spark, Airflow, MLflow, GitHub Actions, CI/CD Academic Projects

CampusIQ – AI-Powered Discord Bot for Student Success

• Deployed scalable Discord bot for 5,000+ students with 99.9% uptime, automating study support and event coordination.

• Engineered RAG pipeline (Pinecone + 10k+ PDFs) enabling real-time Q&A and tools like lecture summarization

(Whisper/GPT) and flashcard generation.

• Reduced LLM costs by 70% via multi-model orchestration (GPT-4/Claude 3/Llama 3) and Redis caching.

• Built ML-driven analytics (linear regression/k-means) for GPA-based recommendations, forming 120+ study groups with 90% event attendance.

• Drove 33% average GPA improvement through personalized academic workflows and peer networking automation. TA Application Management System – Full-Stack Developer

• Built scalable hiring platform automating workflows for 500+ applicants/cycle, reducing faculty review time by 40% via CV parsing (spaCy) and dynamic routing.

• Developed real-time analytics dashboard (React/Chart.js) with PDF reporting and secure document handling (AWS S3, ClamAV, regex validation).

• Slashed committee follow-ups by 65% via automated email/SMS (Twilio) and calendar sync (Google/Outlook APIs).

• Architected high-performance backend (JWT/RBAC) with Redis caching (1.2k RPM), PostgreSQL full-text search, and Docker (99.9% uptime).

• Streamlined deployments via CI/CD pipelines (GitHub Actions) with automated S3 backups and load testing. Multimodal Synthetic Medical Data Generator with RAG-Enhanced Diagnostics

• Created HIPAA-compliant synthetic datasets (CT/MRI + reports) via Stable Diffusion XL and Llama 3-70B, achieving 92% realism (FID: 18.7) and 63% fewer diagnostic errors.

• Engineered RAG-enhanced diagnostics (LangChain + FAISS) with 50k+ PubMed-indexed papers, reducing clinical hallucinations by 58% via chain-of-verification prompts.

• Automated role-specific reporting (radiologist/resident) using adaptive prompt routing, cutting diagnostic queries by 41% and editing time by 35%.

• Deployed hospital-ready API (Flask/DICOMweb) with ONNX optimization, reducing diagnosis time by 28% in pilot studies.

• Achieved 97% accuracy post-4-bit quantization (GPTQ) and LoRA fine-tuning. Experience

Software Development Engineer Jul 2022 - Jun 2023

Birlasoft

• Led end-to-end development of scalable full-stack applications, improving system performance by 30% via optimized queries and advanced caching.

• Designed and maintained Java Spring Boot microservices, reducing API latency by 40% and ensuring seamless integration across distributed systems.

• Built automated CI/CD pipelines, cutting deployment time by 50%, eliminating rollback failures, and supporting zero-downtime AI-driven releases.

Associate Software Engineer Intern Apr 2022 - Jun 2022 Cybage Software

• Engineered backend microservices in Java + PostgreSQL, improving fault tolerance and data consistency in real-time healthcare data systems.

• Boosted API efficiency by 35%, reducing response times from 200ms to 130ms—critical for AI-powered diagnostic pipelines.

• Integrated backend with frontend services, improving responsiveness and user experience by 20% in live applications. Web Development Intern Nov 2021 - Feb 2022

ProSoft Technology Group Inc.

• Developed interactive, SEO-optimized web applications using React & JavaScript, reducing load times by 25% and bounce rates significantly.

• Integrated high-performance RESTful APIs, improving real-time data delivery and increasing site traffic by 18%. Education

Florida Atlantic University May 2025

Master in Computer Science Boca Raton, FL

GPA: 3.6/4.0

RELEVANT COURSEWORK

Generative AI, Deep Learning, Software Engineering, Data Mining and Machine Learning, Analysis of Algorithms, Introduction to Neural Networks, Reinforcement Learning, Data Science

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