# Sanjay Raja

> Data & AI Engineer | LLM, RAG, LangChain | Java, Python, SQL | Spark, Databricks, Snowflake, Power BI | AWS & Azure

Location: Stony Brook, New York, United States
Profile: https://flows.cv/sanjayraja

Software Engineer with a Master’s degree in Data Science and hands-on experience building scalable web applications and backend systems using Python, Java, RESTful APIs, and Relational & Non-Relational databases. I enjoy designing clean APIs, modeling data, and building reliable software that solves real-world problems.

I’ve worked in product-driven engineering environments, collaborating with cross-functional teams to develop, deploy, and improve production systems. My experience spans backend development, database design, API integration, and frontend collaboration, with a strong focus on writing maintainable, high-quality code.

I’m comfortable working across the full software development lifecycle from understanding requirements and system design to implementation, testing, and iteration. I value strong fundamentals, clean architecture, and continuous learning.

Currently seeking early-career Software Engineer opportunities where I can grow as an engineer while contributing to impactful, user-focused products.

## Work Experience
### Software Engineer @ SM INTERFACE SYSTEMS
Jan 2025 – Present | Texas, United States
• Designed, developed, and maintained backend software systems using Java and Spring Boot to support scalable multi-service applications.
• Improved CI/CD infrastructure by refactoring GitHub Actions workflows, reducing build time by 30% and improving deployment reliability.
• Developed automated database migration pipelines using Flyway and PostgreSQL to maintain schema consistency across distributed environments.
• Integrated machine learning services by implementing OpenAI Chat Completion APIs for sentiment analysis and automated content moderation.
• Deployed AI-driven spam detection systems using Azure AI models, reducing inappropriate content by 25% with feature-flag based rollout strategies.
• Collaborated with cross-functional teams to design, test, deploy, and monitor software services in cloud environments.

### Data Science Research Assistant @ Stony Brook University
Jan 2025 – Jan 2025 | Stony Brook, New York, United States
• Proposed HALP: single-pass probes on VLM internals to predict hallucination risk before decoding, replacing post generation detection.
• Trained probes on ∼ 250k-sample, six-benchmark VQA; late transformer layers achieved AUROC ∼ 0.93 on Gemma-3, Llama, LLaVA, Qwen.
• Built a 3 Agent workflow to synthesize image–text pairs: VLM-guided image generator → QA generator → validator, with batch orchestration.
• Proposed a novel hybrid NER architecture to address annotation inaccuracies and generative hallucinations in biomedical entity recognition.
• Developed a multi-stage fusion architecture combining BERT-based classifier with RAG LLM as a judge for entity-level factual grounding.

### Software Engineer @ CODENTRIX
Jan 2022 – Jan 2023 | Chennai
• Designed and implemented full-stack web applications using React.js, Node.js, and cloud services to support scalable platform functionality.
• Developed modular UI components and backend services that automated operational workflows, reducing manual workload from 40 hours/week to minutes.
• Built analytics dashboards using Chart.js and user behavioral data to generate insights that increased revenue by 30%.
• Implemented automation pipelines and scheduled scripts for referral code generation, increasing new user signups by 23%.
• Collaborated with engineering teams to deploy scalable web services on AWS EC2 and Firebase cloud infrastructure.

### Software Engineer Intern @ DLK Technologies India Private Limited
Jan 2021 – Jan 2022 | Chennai, Tamil Nadu, India
• Developed computer vision models using CNNs with transfer learning (VGG16) for weather prediction applications.
• Trained and evaluated deep learning models achieving 94% prediction accuracy.
• Implemented model training pipelines using TensorFlow and Python for scalable ML experimentation.


## Education
### Master of Science - MS in Data science
Stony Brook University
Jan 2024 – Jan 2025

### Bachelor of Engineering in Computational Science
R.M.K Engineering College
Jan 2019 – Jan 2023


## Contact & Social
- LinkedIn: https://linkedin.com/in/sanjayr2701
- Website: https://sanjay-portfolio.online/

---
Source: https://flows.cv/sanjayraja
JSON Resume: https://flows.cv/sanjayraja/resume.json
Last updated: 2026-04-01