Full Stack & AI Engineer | LangGraph Multi-Agent Systems | React · Node.js · Python | Seeking GenAI/Backend Roles

Pune District

Remote

Kalyan Dombivli, Maharashtra, India
BCA, Computer Software Engineering
Kavi Kulguru Kalidas Sanskrit University, Ramtek
BCA, Computer Science
Regal College of Technology And Management
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Download Tal BossFull Stack & AI Engineer | LangGraph Multi-Agent Systems | React · Node.js · Python | Seeking GenAI/Backend Roles
Full-Stack Developer | GenAI Engineer I build AI-powered applications and scalable web solutions that solve real-world problems. My expertise lies at the intersection of Generative AI and Full-Stack Development, with hands-on experience in building applications using LLMs, RAG, LangChain, Python, React, Next.js, FastAPI, Node.js, and PostgreSQL. Over the years, I have developed projects ranging from AI-powered resume optimization tools and job recommendation systems to RAG-based applications, CRM platforms, video calling solutions, and location-based web applications. These experiences have strengthened my understanding of system design, API development, database architecture, and end-to-end product development. 🔹 Core Skills • Generative AI: LLMs, RAG, LangChain, Prompt Engineering • Frontend: React.js, Next.js, TypeScript, Tailwind CSS • Backend: Node.js, Express.js, FastAPI, Python • Databases: MongoDB, PostgreSQL • Tools & Technologies: Git, GitHub, Docker, REST APIs 💡 What Interests Me • Building production-ready AI applications • Developing scalable full-stack products • Exploring advancements in Generative AI and Agentic AI • Solving complex engineering challenges through technology I'm always eager to learn, collaborate, and contribute to innovative products that create meaningful impact. 📩 Open to opportunities in GenAI Engineering, AI Engineering, Full-Stack Development, and Software Development.
Mumbai
Junior Software Engineer at Growstats Media Pvt Ltd, Jan 2026 - Present · 6 mos, Pune District, • Reduced API response latency by 40% by implementing request-level caching and optimizing N+1 query patterns across 3 production endpoints, significantly improving application performance and scalability. • Enhanced database query efficiency by 35% through strategic PostgreSQL indexing and schema refactoring, supporting a platform serving 10K+ monthly active users. • Maintained 99.5% application uptime for client-facing services by implementing robust error monitoring, proactive issue detection, and graceful fallback mechanisms across Node.js/Express applications.
Data Annotator at RWS Group, Oct 2025 - Nov 2025 · 2 mos, Remote, Data Annotation, Data Labelling and GEN Ai Prompting
Full Stack Developer Intern at AjoraDigitalinstitutions, Aug 2024 - Oct 2024 · 3 mos, Kalyan Dombivli, Maharashtra, India
BCA, Computer Software Engineering, Kavi Kulguru Kalidas Sanskrit University, Ramtek
BCA, Computer Science, Regal College of Technology And Management