Software Engineer | AI Engineering & Backend |LLMs, RAG, AI Agents | Node.js, Next.js, TypeScript | DA-IICT

Ahmedabad



Gandhinagar







Master of Science, Information Technology
Dhirubhai Ambani University
PGDCA, Computer Science
Sardar Patel University, Vallabh Vidyanagar
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Download Tal BossSoftware Engineer | AI Engineering & Backend |LLMs, RAG, AI Agents | Node.js, Next.js, TypeScript | DA-IICT
I'm a Software Engineer with 3.5+ years of experience building backend and full-stack applications, with a strong interest in AI Engineering and LLM-powered systems. My core experience is in Node.js, TypeScript, Next.js, React, Express, MongoDB and SQL. I've worked on REST APIs, backend architecture, database optimization, third-party integrations, cloud services and production systems. More recently, I've been working with LLM applications, RAG systems, AI agents, prompt engineering, embeddings, vector databases, AI voice workflows and agent evaluation. What interests me most is the engineering behind AI systems: connecting models with tools and data, designing reliable AI workflows, evaluating agent behavior, and building systems that can work effectively in real-world applications. I enjoy working at the intersection of software engineering and AI, combining strong backend fundamentals with modern AI capabilities.
India
antigravity
claude code
claude
gemini
kiro
langgraph
Full Stack Developer at Solvative, Nov 2023 - Present · 3 yrs 1 mo, Ahmedabad, • Led technical initiatives, sprint ceremonies and architectural decisions while remaining hands-on with backend development and feature delivery. • Improved API performance by up to 50% through MongoDB aggregation optimization and query tuning. • Built and experimented with AI agent POCs using LLMs, including prompt engineering, tool-based workflows and reusable agent components for business use cases. • Developed OCR and document extraction solutions using LLMs to extract and structure information from unstructured documents. • Worked on RAG-based workflows, embeddings and vector search for AI-powered applications. • Designed and implemented prompt-driven workflows to improve the reliability and consistency of LLM outputs. • Designed serverless workflows using AWS Lambda for complex business processes and improved scalability. • Managed deployments across development, staging and production environments with minimal downtime. • Developed database migration scripts for safe transformation of existing data models. • Integrated third-party services including Twilio and SendGrid for communication and notification workflows.
Full Stack Developer (Associate SDE 1) at actyv.ai®, Jul 2023 - Nov 2023 · 5 mos, Contributed to the development of enterprise-grade financial technology solutions, working across the full stack with a focus on performance optimization and seamless user experiences. Implemented server-side pagination and advanced search functionalities, significantly optimizing data retrieval and improving overall application performance. Developed document download feature via REST API and built reusable frontend components in React.js following best practices. Collaborated closely with backend and frontend teams on API design and integration between NestJS backend and React frontend across multiple product features.
Full-stack Developer (MERN) Intern at actyv.ai®, Jan 2023 - Jun 2023 · 6 mos, Gained hands-on experience in full-stack product development, contributing to both backend API development and frontend UI components while learning industry best practices. Contributed to backend API development using Node.js and Express.js, implementing RESTful endpoints with proper error handling and validation. Developed frontend UI components in React.js, improving user experience through responsive design and intuitive interfaces. Assisted in building and testing RESTful endpoints, participating in code reviews and pair programming sessions.
Summer Intern (On campus) at Dhirubhai Ambani Institute of Information and Communication Technology, May 2022 - Jul 2022 · 3 mos, Gandhinagar, Developed a dynamic timetable generation system that automated course scheduling by analyzing faculty availability, subject requirements, and classroom constraints to eliminate conflicts. Built the core logic with PostgreSQL for data management, enabling course administrators to generate optimized timetables and export them as Excel files. This solution significantly reduced manual planning effort and improved resource allocation across academic departments.
Master of Science, Information Technology, Dhirubhai Ambani University
PGDCA, Computer Science, Sardar Patel University, Vallabh Vidyanagar
github: https://github.com/parths07
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