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Hi, I’m Venkata Karthik, a full-stack engineer with 4+ years of experience building scalable web applications using Node.js and React.js. I specialize in AI/GenAI workflows and Python-based RAG pipelines that achieved 92% query accuracy, and I love architecting secure serverless deployments on AWS to boost performance and reliability. I’m passionate about delivering high-quality, maintainable software and enjoy collaborating on cross-functional teams to optimize data models, APIs, and user experiences. When I’m not coding, I’m planning scalable architectures and sharing knowledge through code reviews and mentoring.…Hi, I’m Venkata Karthik, a full-stack engineer with 4+ years of experience building scalable web applications using Node.js and React.js. I specialize in AI/GenAI workflows and Python-based RAG pipelines that achieved 92% query accuracy, and I love architecting secure serverless deployments on AWS to boost performance and reliability. I’m passionate about delivering high-quality, maintainable software and enjoy collaborating on cross-functional teams to optimize data models, APIs, and user experiences. When I’m not coding, I’m planning scalable architectures and sharing knowledge through code reviews and mentoring.

Venkata Karthik

Full Stack Developer, AI Developer, Back-End Developer, +5

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Hi, I’m Venkata Karthik, a full-stack engineer with 4+ years of experience building scalable web applications using Node.js and React.js. I specialize in AI/GenAI workflows and Python-based RAG pipelines that achieved 92% query accuracy, and I love architecting secure serverless deployments on AWS to boost performance and reliability. I’m passionate about delivering high-quality, maintainable software and enjoy collaborating on cross-functional teams to optimize data models, APIs, and user experiences. When I’m not coding, I’m planning scalable architectures and sharing knowledge through code reviews and mentoring.…Hi, I’m Venkata Karthik, a full-stack engineer with 4+ years of experience building scalable web applications using Node.js and React.js. I specialize in AI/GenAI workflows and Python-based RAG pipelines that achieved 92% query accuracy, and I love architecting secure serverless deployments on AWS to boost performance and reliability. I’m passionate about delivering high-quality, maintainable software and enjoy collaborating on cross-functional teams to optimize data models, APIs, and user experiences. When I’m not coding, I’m planning scalable architectures and sharing knowledge through code reviews and mentoring.

Available to hire

Hi, I’m Venkata Karthik, a full-stack engineer with 4+ years of experience building scalable web applications using Node.js and React.js. I specialize in AI/GenAI workflows and Python-based RAG pipelines that achieved 92% query accuracy, and I love architecting secure serverless deployments on AWS to boost performance and reliability.

I’m passionate about delivering high-quality, maintainable software and enjoy collaborating on cross-functional teams to optimize data models, APIs, and user experiences. When I’m not coding, I’m planning scalable architectures and sharing knowledge through code reviews and mentoring.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Full Stack Engineer - AI & Platform Engineering at Hebbia

July 1, 2024 - Present

Strengthened backend stability by engineering Node.js and Express.js services backed by PostgreSQL, validating endpoints with Postman within streamlined CI pipelines to ensure error-free releases. Engineered AI-driven search pipelines using Python (Flask) and Google Gemini APIs, reducing manual data triage volume by 25% through predictive intent classification. Implemented Retrieval-Augmented Generation (RAG) workflows with LangChain, enabling high-accuracy summarization across thousands of legal precedents and financial documents. Integrated Sendbird to build real-time communication modules, cutting average attorney-client response latency from hours to under 15 minutes. Orchestrated hands-free scheduling and email workflows using Nylas API and SendGrid, supporting coordination for 80+ active enterprise analysts.

Junior Developer (B2C Platform Development) at Hebbia

September 1, 2023 - July 31, 2024

Refactored frontend modules using React.js and Tailwind CSS, improving page responsiveness metrics (LCP/CLS) by 20% across devices. Built lightweight REST APIs with Node.js to handle user onboarding, supporting over 5,000 monthly user sign-ups with minimal latency. Integrated MongoDB for flexible user data storage, managing case intake forms for 50+ concurrent active files without data loss. Collaborated in Agile sprints (2-week cycles) to deliver feature increments, reducing ticket carry-over and stabilizing velocity.

Full Stack Engineer (B2B Application) at Cognizant

May 1, 2020 - August 31, 2022

Revamped legacy Node.js and Express.js endpoints to handle higher concurrency, cutting API response latency by 30% during peak data retrieval windows. Fortified platform security by implementing JWT and bcrypt middleware, safeguarding sensitive access points for 28,000+ enterprise users. Constructed a robust file ingestion pipeline using Multer, processing 500GB+ of client data annually while eliminating the need for manual validation checks. Accelerated release cycles by establishing Jenkins and GitHub Actions workflows, slashing manual build-and-test times by 15 minutes per build cycle. Established a modular React.js and Material-UI design system, unifying the visual identity across partner dashboards to boost development velocity. Facilitated seamless third-party integrations by creating comprehensive Postman documentation, significantly reducing QA regression loops and external developer friction.

Full Stack Engineer - AI & Platform Engineering at Glean Technologies Inc

July 1, 2024 - Present

Architected and deployed Retrieval-Augmented Generation (RAG) pipelines using LangChain and Python to enable semantic search across 10,000+ legal documents with 92% query accuracy. Built intent classification models via Google Gemini APIs, reducing manual data triage by 20–30% and saving analysts ~10 hours per week. Implemented a secure attorney-client messaging module using Sendbird and WebSockets, reducing response times from hours to under 15 minutes. Led technical planning and code reviews, enforcing linting standards and type safety (TypeScript) to minimize production bugs. Designed event-driven microservices with Node.js and PostgreSQL to decouple monolithic systems, improving maintainability and scalability.

Junior Developer (B2C Platform Development) at Glean Technologies Inc

September 1, 2023 - July 1, 2024

- Refactored core frontend modules using React.js and Tailwind CSS, improving Core Web Vitals LCP / CLS by 21% across Desktop, Tablet, Mobile. - Built lightweight REST APIs with Node.js for user onboarding handling 5,000+ monthly sign-ups with sub-100ms latency. - Optimized MongoDB schema for high-volume concurrent writes with zero data loss. - Accelerated feature delivery via reusable UI components, stabilizing velocity across 2-week Agile sprints.

Full Stack Engineer (B2B Application) at Cognizant, India

May 1, 2020 - August 1, 2022

- Revamped legacy Node.js/Express endpoints to handle high throughput, reducing average response time by ~37% (~200ms saved per request). - Fortified authentication with JWT and bcrypt for 5,000+ employees. - Built a streaming file ingestion service using Multer processing 500GB+ annually with automated schema checks. - Modernized release lifecycles with Jenkins and GitHub Actions pipelines, reducing manual build/deploy time by 15 minutes per cycle. - Enforced test-driven development via unit/integration tests, reducing regression bugs in production releases.