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Rishi - Full Stack Agentic AI Enginner

[email protected]

Location: Charlotte, North Carolina, USA

Relocation: Yes

Visa: H1B

Resume file: Nagendra_Chanda Python_ai_1747067875724.pdf Please check the file(s) for viruses. Files are checked manually and then made available for download.

Nagendra Rishi Raj Chanda [email protected] | +19085383036 | https://www.linkedin.com/in/nagch95/ | https://cnrishiraj.vercel.app/ | https://github.com/cnrishiraj SUMMARY: Experienced Software Engineer with 6 years of hands-on expertise in designing, building, and delivering robust software solutions. EDUCATION: Master of Science, Computer Science Aug 2022 - Dec 2023 University of North Carolina at Charlotte, NC, USA. GPA: 4.0 Bachelor of Technology, Computer Science and Engineering Aug 2016 - Sep 2020 Vardaman College of Engineering, India TECHNICAL SKILLS: Languages: Python, Java, JavaScript, TypeScript, Linux, Go. Web development: HTML, CSS, React.js, Angular, Next.js, Spring Boot, Node.js, Express.js, REST, Flask, Vite. SOAP Databases: MySQL, MongoDB, PostgreSQL. Cloud Infrastructure: GCP (Compute Engine, Kubernetes Engine, Cloud Functions, etc.), AWS (S3, EKS, EC2, Route53, etc.), Azure Tools and Frameworks: GitHub, Docker, Kubernetes, Apache Kafka, JUnit, Postman, Elastic Search, Okta, Tableau, CI/CD (Jenkins, GoCD), version control (Git, Bit Bucket), build tools (Maven, Gradle, npm), IDEs (IntelliJ, Eclipse, Visual Studio Code), Jira, RabbitMQ, Swagger, Playwright, Material UI, Terraform Methodologies/Paradigms: Agile, Object Oriented Programming and Design, Design Patterns, CI/CD, Microservices, RESTful services, Gitlab. Gen Ai Tools: LangChain, LangGraph, LangServer, LangSmith, LlamaIndex, PhiData, RAG (Retrieval-Augmented Generation), AWS (SageMaker, Lambda, Bedrock, EC2), Azure (Azure ML, Azure AI, App Services), GCP (Vertex AI, Cloud Functions), Heroku, Deep Learning, Generative AI, LLMs (GPT, Gemini, LLaMA, Mistral, DeepSeek), Machine Learning, Model Deployment, Natural Language Processing (NLP), Prompt Engineering. Vibe Stack: Chat: OpenAI s ChatGPT, Google s Gemini, Anthropic s Claude, xAI s Grok, Perplexity AI, and Microsoft s Co-pilot. These tools focus on conversation, providing natural language processing models for chatbots and assistants. Automations and Flows: Tools like Agent Tools (No-code AI agents), Manus (General-purpose AI agent), Deep Research (In-depth analysis prompts), O3 (AI workflow helper), Zapier (No-code automations), and n8n (Open-source workflow builder). Vibe Coding: Windsurf (AI coding IDE), Cursor (Chat-first code editor), Bolt (Mac AI utility), Lovable (Natural-language app builder), V0 (UI generator by Vercel). AI Models: Gemini 2.5 (Google s frontier model), Claude 3.7 (Anthropic s flagship LLM), Deepseek (Open-source code LLM), GPT-03 (GPT-3 series model), Llama (Meta s open-source LLM), and xAI Grok (Real-time bot). AI Model Repositories: FAL (Model hosting hub), Replicate (Run any ML model), and OpenRouter (Multi-model proxy API). Deployment: Vercel (Frontend cloud deployment), Replit (Browser coding + hosting). Database: Firebase (Google backend-as-service), Supabase (Open-source Postgres backend), InstantDB (Serverless vector store). Terminal-Based Tools: Codex (LLM for code), Claude Code (Anthropic coding model). PROFESSIONAL EXPERIENCE: Applied Gen AI, 100x Engineers Feb 2025 Present Developing a Retrieval-Augmented Generation (RAG) pipeline for a chatbot using Langchain and GCP Bigquery tools to help the users gain insights on available products. Developed a comprehensive backend system for a chat-based application, enhancing information retrieval and processing capabilities. Utilized Python and frameworks like FastAPI to build scalable and efficient APIs. Implemented data processing pipelines using Pandas, NLTK, improving data manipulation and text processing efficiency. Led the integration of a keyword generation module, boosting search functionality and user experience. Optimized data processing pipelines, achieving a 30% reduction in processing time and enhancing system performance. Conducted unit testing with Pytest, ensuring high code quality and reliability. Overcome data consistency challenges by implementing a delta check mechanism, maintaining data integrity. Contributed to a 20% increase in user engagement through improved system responsiveness and reliability. Utilizing Langchain and Langserve to deploy the application with FastAPI, leveraging GCP vertexAI services for CI/CD and software development. (https://www.briggsandstratton.com/na/en_us/briggs-assist.html) (Tech Stack: GCP, Python, React, Node.js, FastAPI, Langchain, Lang serve, FastAPI, Pandas, NLTK) Software Engineer 2, American Tire Distributers, USA June 2023 Present Designed and implemented a high-performance EDI (Electronic Data Interchange) processing system capable of handling 100,000+ daily transactions, leveraging modular design principles to transform hierarchical data with over 50 nested fields into structured output, achieving 40% faster processing time and reducing error rates by 30%. Enhanced the Backend REST API to support advanced transaction Replay functionality, significantly improving partner monthly revenues by 4 million each quarter. This upgrade streamlined Order life cycle processes, significantly boosting vendor profits. Automated scheduling Jobs for 50+ partners using python and Golang, reducing downtime by 90% and cutting operational time to less than 5 minutes. Developed dynamic, high-performance web interfaces using React & TypeScript, improving user interaction speed by 30%. Optimized cluster sizing to efficiently manage live traffic and fanout processes, enabling the system to handle peak loads without performance degradation or reliability issues. Implemented automated scaling scripts to dynamically adjust cluster, ensuring cost-effectiveness and optimal resource utilization. Contributed to the conversion of a single-tenant architecture to a multi-tenant architecture, developing essential components and facilitated smooth partner migration, leading to a 20% cut in infrastructure expenses. Achieved a cost reduction of $10,000 in GCP by optimizing resource allocation, minimizing unused resources across. Kubernetes clusters, and leveraging cost-efficient scaling strategies. Wrote backend automation scripts and data processing jobs using Python, supporting frontend needs and internal tooling. (Tech Stack: GCP, Angular, Nodejs, Spring Boot, Python, Go.) Software Engineer, Digital Bank of Singapore, India Sep 2020 Jul 2022 Executed the development of websites, micro-frontends applications, and landing pages from design to deployment, managing a daily traffic volume of 1.5 million users. Established a proprietary repository hosting 120+ reusable micro frontend components, tailored for deployment across all public facing webpages. Spearheaded the development and deployment of applications in cloud environments, leveraging technologies such as AWS Lambda and AWS CloudFront for enhanced scalability and reliability. Established cross-browser compatibility for web applications and integrated with major browsers such as Safari, Internet Explorer, Firefox, and Google Chrome, resulting in a seamless user experience for 95% of all website visitors across different browsers across the world. (Tech Stack: AWS, React, Nodejs, Spring Boot.) Syneffo Solutions, India July 2018 Sep 2020 Associate Software Developer Enhanced search efficiency by reducing query time by 12ms through strategic indexing of stored data using the Elasticsearch tech stack, enabling faster filtering and sorting for data analysis. PROJECTS: AI-Powered Technical Documentation Assistant Engineered a sophisticated PDF processing pipeline using Google Cloud Storage and Big Query for efficient document storage and retrieval. Implemented TF-IDF vectorization for semantic search capabilities with a similarity threshold of 0.85 Developed a custom AI agent system using Google's Gemini 2.0 model for advanced query processing and response generation. Implemented context-aware document analysis with intelligent keyword extraction and query refinement. Built a dynamic filtering system supporting multiple parameters (model numbers, part numbers, brands, product categories) Implemented real-time search result ranking and relevance scoring. Integrated Firebase Authentication for secure user management Implemented JWT-based session management with refresh token support. Designed modular components for PDF management, session handling, caching, and UI rendering. Implemented async/await patterns for improved performance and responsiveness. Developed a sophisticated caching system with TTL (Time to Live) management Implemented intelligent data prefetching and lazy loading strategies. ES Data Load Refresh Developed and implemented a Python-based data processing script, integrating MongoDB and external RESTful services to enrich and update location-related data. Incorporated Prometheus metrics to monitor application performance, including total API calls and error tracking, facilitating real-time monitoring and alerting. Global DBS Branch Locator Developed a micro frontend component to locate all DBS branches and ATMs globally, integrating it across customer-facing sites in Singapore, India, Hong Kong, and Indonesia. Revamped a React.js component that locates all DBS branches and ATMs worldwide. (https://www.dbs.com/about-us/our-global-offices/default.page) EDI-UI (Internal Tool - ATD) Part of team responsible for design and development of new in-house EDI tool handling business transactions with B2B customers. Utilized Angular, TypeScript, and RxJS to build a scalable and maintainable enterprise application. AWS Migration Developed a new system, 6 months ahead of schedule, migrating the public-facing DBS websites from jQuery to React.js, resulting in the addition of useful new capabilities. Built and maintained a library of over 70 reusable components using ReactJS, Hooks, and Redux, resulting in an 80% reduction in development time for new projects. EDI Integration Event-Driven Data Exchange Platform Designed and developed a high-throughput EDI Integration microservice using Spring Boot, enabling seamless event-driven data exchange between internal systems and external partners. Implemented an event-driven architecture with Apache Kafka, building producers and consumers to handle EDI message streams at scale (thousands per day) while ensuring high throughput and low latency. Implemented robust error handling and fault-tolerant design (retry mechanisms, dead-letter queues, fallback logic) to ensure reliable processing and 99.9% uptime even when external services were unavailable. Resolved critical production issues (e.g., memory leaks, thread contention) through advanced debugging and profiling, improving system stability and reducing incident resolution time by 50%. Optimized performance by introducing multithreading (Java Executor Service) and asynchronous processing, increasing throughput by 30% and reducing average processing time per message by 20%. Pricing Tool Developed and implemented Angular routing for a web application, ensuring structured navigation and component rendering based on user-defined paths and authentication status. ACHIEVEMENTS: First prize at Megathon 2017 with an amount of 20,000 Indian rupees organized by IIIT Hyderabad-IBM challenge of making a chatbot using MS Bot Framework, IBM Watson. Was one of fifty teams in DBS Hackathon and made it to the final five. BEC Certification in Vantage Level by Cambridge English. Mentored a group of 5 students in Hackathon at E-Summit organized by Vardhman College in association with multiple startups of India and IIT Bombay e-cell. Gladiator Recognition Award, DBS Bank: Recognized for outstanding contributions for front/back-end development demonstrating design skills, coding expertise, and dedication to delivering high-quality user experiences. CERTIFICATIONS Microsoft Certified: Azure AI Engineer Associate Google Professional Machine Learning Engineer Machine-learning-specialization - deeplearning.ai Keywords: continuous integration continuous deployment artificial intelligence machine learning user interface javascript sthree information technology golang microsoft Colorado North Carolina