About
Professional Journey
Embark on a journey through my career, a seasoned Software Engineer with a solid track record in building intelligent systems, architecting scalable infrastructures, and deploying top-tier web and cloud-native applications. From AI-driven platforms and autonomous agents to distributed microservices and secure DevOps pipelines, my work reflects a passion for solving real-world problems through technology. Discover the blend of deep technical expertise, creative innovation, and relentless dedication that defines my professional ethos.
I am a full-spectrum technologist with deep expertise in Artificial Intelligence, Software Engineering, Data Science, and Cloud Architecture. My work spans cutting-edge areas like Model Context Protocol (MCP), autonomous AI agents, Retrieval-Augmented Generation (RAG), and LangChain, enabling the development of intelligent systems that reason, plan, and act. I specialize in building scalable software with modern stacks like Python, TypeScript, Go, and Rust, and have deployed cloud-native infrastructures using AWS, GCP, Azure, Docker, Kubernetes, and Terraform. With hands-on experience in LLM orchestration, multimodal models, and prompt engineering, I’ve delivered solutions ranging from enterprise automation to real-time analytics. Above all, I love solving complex problems, whether it’s optimizing performance, automating workflows, or architecting resilient systems. My approach blends curiosity, innovation, and technical depth to build future-ready solutions across industries.
Experience
Professional Timeline
Software Engineer
February 2025- June 2025
Dapi INC
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Masterminded the AI-based system design and integration of AI agents utilizing Python, TypeScript ,and Rust, leveraging MCP, LangChain, LangGraph, TensorFlow, and PyTorch , which delivered a 30% boost in automation throughput and generated key insights to fix the three biggest causes of data bottlenecks.
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Architected distributed microservices across AWS, Azure, and GCP with Kubernetes, Docker, Terraform and Helm. Implemented CI/CD pipelines via GitHub Actions and Argo CD, with observability enabled by Prometheus and Grafana.
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Facilitated cross-functional collaboration with Product, Design, QA, DataScience, and DevOps teams by implementing end-to-end workflows using JavaScript (React.js) and HTML/CSS, integrating iterative design (Figma), sprint planning (Jira, Trello).
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Automated testing (Selenium, Mocha, JUnit), and API validation (Postman), accelerating feature delivery by 40%. (React.js) and HTML/CSS, integrating design (Figma), project tracking (Jira, Trello), QA/testing (Selenium, Mocha, JUnit), and API validation (Postman), accelerating feature delivery by 40%.
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Pioneered data pipelines and builtAI-driven workflow automation using ApacheKafka, ApacheSpark, and cloudAI services, integrated via RESTful APIs and gRPC to improve operational efficiency by 35% and ensure reliable task verification.
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Orchestrated third-party service integrations using JavaScript and Pythonscripts (GoogleCalendar, Slack, Zapier, Twilio), and monitored with Datadog, Grafana, and Prometheus, applying DevOps best practices (CI/CD, Docker Swarm) to elevate contextual intelligence and increase user engagement by 25%.
Graduate Research Assistant
January 2024-December 2024
California State University, Long Beach
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Led research on autonomous vehicles using TraCI, SUMO, and CARLA, and crafted production grade software services in Python and Go, integrating NLP and computer vision models (TensorFlow, PyTorch, LangChain) into AWS, Azure, and GCP microservices architectures, reducing inference latency by 25% and enabling real-time enterprise decision making.
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Designed scalable containerized edge device applications using Docker, Kubernetes, and cloud-nativeAPIs, alongside ApacheKafka and PostgreSQL feature stores, achieving 40% improved throughput and 24/7 reliability for time-sensitive systems.
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Developed AI driven tools by combining Python software engineering best practices—TDD, SOLID principles, RESTfulAPI design—with RAG pipelines, reinforcement learning, and prompt engineering in LangChain, boosting prediction accuracy by 30%.
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Constructed full-stack MLOps pipelines using Bash, Terraform, MLflow, Kubeflow, and Jenkins, and deployed LLMs on AzureOpenAI, implemented CI/CD workflows and code reviews to cut model release time by 50% and maintain 90% test coverage.
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Collaborated with cross-functional stakeholders and led Agile ceremonies—sprint planning stand-ups, retrospectives—while building ETL and monitoring systems in Scala and Python (Kafka, Spark, Hadoop), and crafting robust testing frameworks (JUnit, PyTest, Selenium), improving system reliability by 35% and enforcing AI governance standards.
Software Engineer
January 2019- August 2022
Freelancer
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Initiated a modular webapplication using TypeScript, Go, and Python, constructed microservices and developed REST/GraphQLAPIs with FastAPI, Express.js, and gRPC , reducing feature deployment complexity and shaving 25% off delivery timelines.
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Deployed containerized services across AWS, GCP, and Azure, configured Docker, Kubernetes, and Terraform, and established CI/CD pipelines via GitHub Actions, which cut deployment failures by 30% and facilitated seamless rollbacks. Optimized relational and NoSQL databases.
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(PostgreSQL, MongoDB, Redis) by designing data models, implementing caching strategies, and fine-tuning queries with indexing, achieving a 40% boost in data retrieval speeds under high-throughput loads.
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Strengthened application security by integrating OAuth2, RBAC, JWT authentication, TLS encryption, and rate limiting per OWASPTop 10 standards, and conducted threat modeling and code reviews.
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Established observability frameworks by implementing Prometheus, Grafana, and Datadog monitoring and logging, improving incident response time by 35% and ensuring system reliability.
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Facilitated daily stand-ups and sprint planning sessions with cross-functional teams of 10+members, tracking progress and resolving roadblocks using Jira, Notion, and Slack, which improved team velocity by 15% per sprint.
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Authored comprehensive technical documentation and led peer code reviews, enforced code quality with ESLint, Prettier, andHusky pre-commit hooks, resulting in a 50% reduction in code defects and streamlined onboarding for new developers.
Education
Master's in Computer Science
-California State Univerity,Long Beach
(August 2022-December 2024)
Bachelor's in Computer Science
-SRM University,AP (August 2018-May 2022)
Projects
Agent Carter: AI Meta-Agent for Building & Optimizing AI Agents
Jan 2025 – February 2025
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Developed Agent Carter, a multi-agent orchestration platform leveraging LangGraph + Pydantic AI, enabling AI agents to plan, execute, and self-improve autonomously.
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Integrated advanced AI reasoning (O3-mini/R1) and workflow automation, incorporating local LLM execution (Ollama) and Supabase Vector Database for optimized data handling and scalable AI workflows.
GenAI-Powered LinkedIn Post Generator
Nov 2024-Jan 2025
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Developed an AI-powered LinkedIn Post Generator using DeepSeek (deepseek-r1-distill-qwen-32b), LangChain, and Streamlit, enabling intelligent content generation with personalized theme detection, language adaptation, and style mirroring.
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Optimized AI-driven post creation workflow, integrating few-shot learning, unified tagging, and Groq Cloud for ultra-fast inference, enhancing content personalization and automation for professional branding.
Sherlock AI
Sept 2024-Nov 2024
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Developed Sherlock AI, an AI-powered personal finance chatbot leveraging GPT4All, Ollama, and LangChain RAG, enabling privacy-focused transaction categorization, anomaly detection, and real-time financial insights via a Flask & FastAPI backend.
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Designed interactive Plotly Dashboards and integrated vector-based pattern recognition (PGVector + Supabase) to analyze spending trends, detect unusual transactions, and provide AI-driven financial recommendations, ensuring secure, offline execution for data privacy.
AI Interior Design Generator
July 2024-Sept 2024
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Led development of interior design application using React.js, Node.js, API design and Python for backend solutions. Utilized AWS, GCP, and MongoDB for cloud-based storage and scalable deployments with Tailwind CSS for responsive UI design.
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Implemented robust testing frameworks with Jest, Mocha and PyTest, leveraging CI/CD pipelines via Jenkins and Postman for continuous integration. Optimized development processes with Docker, ensuring seamless RESTful API integration and high-quality.
Financial Operations Automation Project
May 2024-July 2024
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Developed a scalable financial platform using React.js, Next.js, and Python for seamless UI/UX design and API integration. Leveraged Azure, and Docker for cloud infrastructure, with Tailwind CSS for responsive design, and used Postman for API testing and validation.
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Designed low-latency data processing systems with AWS, Apache Kafka and PostgreSQL, optimizing data handling and automation. utilized CI/CD pipelines with Jenkins for efficient continuous integration, alongside unit testing with Jest, PyTest, and Mocha.
Travel MateAI
March 2024 – May 2024
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Designed and developed a travel planner web app using React, Node.js, Redux, Python and TailwindCSS, integrating AWS and GCP and MongoDB for efficient database management. Performed unit and integration testing with Jest, PyTest, Mocha, and Postman.
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Deployed the app with Vercel and Azure for scalable storage, utilizing CI/CD pipelines with Jenkins and Docker, ensuring seamless cloud-native performance. Conducted end-to-end testing with Selenium and monitored using Datadog.
Millow - Decentralized Real Estate Marketplace Jan 2024 – March 2024
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Designed and developed a decentralized real estate marketplace using Solidity, Hardhat, and OpenZeppelin, enabling property tokenization as ERC-721 NFTs and transactions via a custom ERC-20 token, with features like escrow, bidding, and IPFS-based
document storage.
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Built and tested secure smart contracts with Mocha, deployed on Ethereum testnet, and integrated a React.js frontend with Ethers.js and MetaMask for seamless user interaction, reducing transaction costs and enhancing transparency in real estate transactions
Decentralized NFT Marketplace
Sept 2023 – Dec 2023
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Developed a fullstack decentralized NFT marketplace using Node.js, Hardhat, Solidity, React.js, Next.js, and Vercel, enabling users to mint, buy, sell, and manage NFTs with seamless integration of IPFS for decentralized storage and for blockchain transactions.
- Implemented a user-friendly interface with Metamask wallet integration, real-time UI updates, and responsive feedback for actions like NFT creation, listing, and purchasing, while addressing challenges such as gas estimation errors, account/network switching, and
mobile-specific event handling.
Achievements
Received Best Research Presentation Award at the CSULB Graduate Research Symposium(2024) for work on autonomousvehicle simulation frameworks using TraCI, SUMO, and CARLA that demonstrated a 25% improvement in inference latency.
Awarded TaskerAI Innovation Excellence(2025) for leading the development of a production-grade AI automation plugin that increased agent task completion rate by 30% and was adopted across 5+ enterprise clients.
I bring a versatile and evolving skill set shaped by hands-on experience across AI, software development, and cloud infrastructure. From crafting intelligent agents and orchestrating large language models to architecting scalable backends and deploying secure, cloud-native systems—I combine technical depth with a passion for innovation. My expertise spans modern programming languages, distributed systems, DevOps, data pipelines, and the latest in AI frameworks, allowing me to solve complex problems with creativity and precision.
Programming,Scripting Languages & Operating Systems
Python,Go,R,Java,C,C++,C#,.NET,Swift,ReactNative,FastAPI,LUA, Kotlin, Bash/Shell, PowerShell, Object-Oriented Programming (OOP), Windows, Linux, MacOS, Django / Flask
Software Developement
TypeScript, Go, Rust, JavaScript, Node.js, GraphQL, WebSockets, Kafka Streams, Native iOS, App Transport Security (ATS), Terraform, Pulumi, CloudFormation, ARM, Bicep, Crossplane, GitHub Actions, GitLab CI, Maven, K6, Test Automation, AWS, Google Cloud, Microsoft Azure, Oracle Cloud, Vercel, Docker, Kubernetes, Tilt, Skaffold, OAuth2, JWT Authentication, Firebase Auth, OpenTelemetry, Service Mesh, Agile (Scrum), Jira, Confluence, Slack, CI/CD Pipelines, React Hooks
Web and Frontend Developement
React.js, Vue.js, Angular.js, Svelte, SvelteKit, Astro,
Redux, ContextAPI, Zustand, Recoil,Tailwind CSS, Framer Motion, pulimi, HTML, CSS, RESTful APIs, GraphQL, WebSockets, Mobile UI/UX Optimization, Component-Based Frontend Architecture, Git, GitHub, GitLab, Bitbucket
Core AI/ML
AI Infrastructure & Data Management
Cloud Solutions & Architecture
Model Context Protocol (MCP), AI Agents, GPT-3, BERT, T5, Transformer Models, Stable Diffusion, DALL·E, Hugging Face, spaCy, LlamaIndex, BentoML, Weights & Biases, NVIDIA Triton Inference Server, GANs, VAEs, Diffusion Models, Fine-Tuning LLMs (Llama), Model Integration (SOTA LLMs), Retrieval-Augmented Generation (RAG), Reinforcement Learning (RL), Transfer Learning, Model Optimization, TensorFlow, PyTorch, Keras, LangChain, Langfuse, Scikit-learn, XGBoost, Graph Neural Networks (GCN, GraphSAGE, GAT), PyTorch Geometric
Neo4j, TigerGraph, Amazon Neptune, Spark GraphFrames, Pinecone, FAISS, ChromaDB, Supabase, MLflow, Kubeflow, Ray, Prefect, Vertex AI, Azure OpenAI, AWS Bedrock, Google Vertex AI, GitHub Actions, GitLab CI, Terraform, Kubernetes, Docker, AWS Lambda, ArgoCD, Delta Lake, Apache Iceberg, WebAssembly (Wasm), AI Scalability Across Trading Desks, AI Road-map Development, AI Feasibility Analysis, AI Governance & Ethical AI Practices
AWS S3, Azure Blob Storage, Google Cloud Build, Cloud-Native Services, Microservices, SOA, Jenkins, Distributed Systems, AWS CDK, Terraform, Azure DevOps Pipelines, Cloud Security, Networking Protocols, OWASP Top 10
Data Analysis & Visualization
Testing
PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, Cassandra, ETL, Data Lakes, Databricks, S3 Data Factory, Power BI, Tableau, JSON, XML, Structured/Unstructured Data
PyTest, JUnit, Mocha, Jasmine, Postman, Selenium, Cypress, Playwright, Apache JMeter, Gatling, OWASP ZAP, Burp Suite, Prometheus, Grafana, Datadog, ELK Stack
Contact
Got a question, idea, or just want to say hi? I’d love to hear from you! Feel free to reach out, I'm all ears and happy to help however I can