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Fullstack Engineer with less than a year in LLM orchestration, microservices, and real-time event-dr
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Assessing your cultural and operational fit
Full-Stack AI Engineer specializing in LLM orchestration, real-time event-driven architectures, and cloud-native microservices. Proven record of shipping high-concurrency, Security-First platforms that process millions of transactions at sub-200ms latency. Comfortable owning end-to-end systems from semantic vector search pipelines to automated conversational AI workflows and thriving in fast-paced, remote-autonomous scale-up environments.
University of Mumbai
Bachelor's · Information Technology
August 1, 2023 – June 30, 2026
Government Polytechnic
Diploma · Computer Engineering
August 1, 2020 – June 30, 2023
RsquareSoft Technologies
Associate Software Engineer
January 1, 2026 – Present
India
Elevate Labs
Java Backend Developer Intern
August 1, 2025 – September 1, 2025
India
Semantic Talent Matching Engine
January 1, 2026 – June 1, 2026
Architected a full-stack LLM-powered semantic recruitment engine using LangChain, OpenAI embeddings, and Pinecone vector search, replacing keyword-based ATS logic and improving candidate-role match accuracy by 43%. Delivered real-time match score streams to a React.js/TypeScript dashboard via WebSockets; scaled to 50,000+ concurrent profile comparisons on AWS ECS with Redis caching reducing query latency by 68%.
View ProjectConversational AI Screening Bot
January 1, 2026 – June 1, 2026
Built a real-time conversational AI recruiter using NestJS WebSockets and OpenAI GPT-40, conducting structured candidate screening with dynamic branching logic and automated Google Calendar interview scheduling via API integration. Processed 1,500+ screening sessions concurrently via Redis pub/sub, reducing recruiter workload by 72% and cutting interview no-show rates by 60% through instant Twilio SMS confirmations.
View ProjectAgentic AI Application Builder
January 1, 2026 – June 1, 2026
Built an AI agent pipeline (LangGraph) with 5 autonomous nodes and a self-healing retry loop, generating deployable Next.js apps from text prompts in <45s with an 87% success rate. Orchestrated a multi-model LLM architecture with LangChain tool-calling and OpenAI API integration, reducing planning token costs by 40% while maintaining full end-to-end code generation accuracy.
View ProjectMSME certification for exceptional backend engineering proficiency
Elevate Labs
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects focused on cutting-edge AI applications, demonstrates a strong passion for technology and continuous learning. Their experience spans both backend and frontend, with a significant specialization in AI/LLM, aligning well with innovative and fast-paced environments. The competitive achievements and top performer status indicate a proactive and results-oriented mindset, which would be a good fit for a high-performance culture. The target role of 'Fullstack Engineer' is well-aligned with their demonstrated capabilities across the stack, particularly with their AI specialization.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving skills, an ability to work autonomously, and a focus on delivering measurable business impact (e.g., improving accuracy, reducing latency, cutting workload). The competitive achievements suggest a driven and high-achieving individual. The emphasis on 'Security-First platforms' and 'zero invalid state transitions' indicates attention to detail and reliability, which are crucial for operational excellence.