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RAJENDER Naik - Software Engineer

[email protected]

Location: Frisco, Texas, USA

Relocation: Yes

Visa: STEM OPT

Resume file: Rajender_3^Myrs_SE_Resume_1774631026343.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

Rajender Naik G Software Engineer (AI/ML) New Jersey, USA | (203)- 936- 8020 | [email protected] | LinkedIn | GitHub Professional Summary Software Engineer with 4+ years of experience designing, developing, and deploying scalable full-stack and AI-powered applications using Python, TypeScript, and modern cloud-native technologies. Strong expertise in backend architecture, distributed systems, and performance optimization, with hands-on experience building production-grade APIs, microservices, and event-driven systems. Specialized in Large Language Model (LLM) integrations, Retrieval Augmented Generation (RAG) architectures, and AI workflow orchestration, enabling intelligent automation and enhanced decision-making capabilities within enterprise applications. Adept at designing secure, high-availability systems that handle high traffic loads while maintaining low latency and reliability. Technical Skills Languages: Python, TypeScript, JavaScript, SQL, C++, Java Frontend / Backend: React.js, Angular, HTML5, CSS3, Tailwind CSS, FastAPI, Flask, Node.js, Express.js, Spring Boot APIs & Authentication: REST, GraphQL, JWT, Swagger/OpenAPI Databases: PostgreSQL, MySQL, MongoDB Cloud & DevOps: AWS (EC2, S3, Lambda), Azure, Docker, Kubernetes, Git, GitHub Actions, Jenkins AI / LLM: OpenAI APIs, LangChain, Hugging Face, Retrieval-Augmented Generation (RAG), Prompt Engineering, scikit-learn Core Concepts: Microservices, Distributed Systems, CI/CD, System Design, Performance Optimization Professional Experience Software Engineer | Client:TechGrit, Texas, USA Jan 2024 - Present Developed scalable full-stack applications using React, Angular, and Python backend services, implementing modular architecture and reusable components that accelerated feature delivery cycles by 30% while improving maintainability across multiple production modules. Designed and implemented high-performance RESTful and GraphQL APIs using FastAPI and Spring Boot with JWT authentication and RBAC, enabling secure real-time data exchange across distributed cloud-native systems and microservices. Engineered performance-critical backend modules in C++ for compute-intensive workflows, reducing service latency by 18% and increasing request throughput by 22% under peak production traffic conditions. Built and deployed LLM-powered product features using OpenAI APIs and Retrieval-Augmented Generation (RAG) pipelines, significantly improving response relevance by 35% and reducing hallucination across user-facing AI experiences Implemented CI/CD pipelines with GitHub Actions and Docker while deploying containerized services on AWS infrastructure, reducing release cycles by 20% and maintaining 99.5%+ uptime across environments. Software Engineer | Foinix Software Services Pvt Ltd, India May 2021 - Dec 2022 Developed backend features using Python and SQL by designing scalable REST APIs integrated with React applications, enabling reliable business workflows and improving data processing efficiency across internal tools. Built reusable React components and implemented asynchronous API integration with pagination and state management, enhancing frontend performance and improving overall user experience across multiple product modules. Designed structured data ingestion pipelines handling CSV, Excel, and relational data sources with validation and logging mechanisms, ensuring reliable data workflows and reducing manual processing efforts. Optimized database performance through SQL query tuning, indexing strategies, and query restructuring, improving system performance by 20% and supporting faster reporting and analytics execution. Automated recurring reporting processes using Python scripts and SQL procedures while diagnosing cross-layer production issues, reducing report generation time by 40% and improving overall system reliability. Projects University Churn Prediction & Analytics Platform | Saint Peter s University Built an end-to-end analytics workflow using Python and SQL to prepare student data, engineer churn features, and expose insights through APIs and dashboards for academic teams. Improved early churn identification accuracy by 18% through feature refinement and iterative model tuning using scikit-learn. AI Data Platform | Johnson & Johnson, USA Developed and maintained Python-based data validation and ingestion workflows using JSON Schema standards to enforce data integrity, consistency, and compliance across large-scale datasets EEE Department Lab Website | IIT Hyderabad: Built a full stack academic website using HTML, CSS, JavaScript, and Flask, connecting backend routes with responsive frontend pages for research and faculty content. Reduced information lookup time by ~30% through improved navigation, layout structure, and content organization. Education Master of Science in Business Analytics | Saint Peter's University, USA November 2024 Bachelor of Arts in Economics | Kakatiya University, India April 2022 Keywords: cplusplus continuous integration continuous deployment artificial intelligence machine learning javascript sthree