Software Engineer with less than a year in real-time AI systems and multi-agent LLM workflows.
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Backend Engineer and AI Developer with strong foundations in Data Structures & Algorithms, backend engineering, and scalable AI systems. Experienced in building production-grade FastAPI applications, real-time voice AI pipelines, RAG systems, and multi-agent LLM workflows using LangChain and LangGraph. Skilled in asynchronous programming, distributed systems, API design, and conversational AI, with hands-on experience in PostgreSQL, vector databases, and low-latency backend architectures. Solved 650+ DSA problems with a LeetCode Contest Rating of 1729.
Shri Vaishnav Vidhyapeeth Vishwavidyalaya
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Webkorps Services
Software Developer Intern
January 1, 2026 – April 1, 2026
India
AI Travel Planning Agent
January 1, 2026 – Present
• Built a stateful AI travel planning system using LangGraph workflows and multi-step LLM orchestration • Implemented conversational memory, structured information extraction, and dynamic clarification handling • Integrated flight, train, and web search tools to generate personalized budget-aware travel itineraries • Engineered modular agent pipelines with conditional routing, tool calling, and itinerary generation workflows
View ProjectMulti-Agent AI Content Generation System
January 1, 2026 – Present
• Built a multi-agent AI workflow using LangGraph and LangChain with supervisor-based task orchestration • Developed specialized research and writing agents with intelligent routing and conditional workflow transitions • Integrated web search and tool-calling capabilities to automate context-aware content generation • Engineered stateful agent pipelines for efficient task coordination, response synthesis, and loop prevention
View ProjectAI Telephonic Customer Support Assistant
January 1, 2026 – Present
• Built real-time voice AI system handling live calls using streaming ASR and TTS pipelines • Designed asynchronous backend architecture for low-latency processing and concurrent call handling • Implemented conversational agent workflows for dynamic, context-aware responses
View ProjectNPTEL Top 1% Joy of Computing Using Python (Score: 90%)
NPTEL
June 1, 2026 – Present
Postman API Fundamentals Student Expert Certification
Postman
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, particularly in AI/ML and backend development, shows a broad interest and willingness to explore different technical domains. The focus on building functional, real-world applications (travel agent, customer support, content generation) indicates a results-oriented approach. The self-driven learning and achievement in competitive programming suggest a growth mindset and a desire for continuous improvement, which are positive indicators for cultural fit in an innovative and challenging environment. However, the limited professional experience means exposure to diverse team dynamics and corporate culture is still developing.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through personal projects and LeetCode achievements. The focus on building complex AI systems from scratch indicates a proactive and self-driven approach. The internship experience, though brief, aligns well with the project work, suggesting a practical and application-oriented mindset. However, the lack of extensive professional experience means operational fit in a larger team or complex enterprise environment is yet to be fully proven.