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Software Engineering Intern @ Discover Excellence | Former Senior SWE @ Ittiam | Backend & AI Infrastructure
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BitMod--AI-Inference-Cache-Semantic-Reuse-Engine
June 15, 2026 – Present
9-layer LLM inference cache and semantic reuse engine that cuts repeated API calls through exact, semantic, and composable caching.
View Projectelastic-face-recognition
May 3, 2026 – Present
End-to-end face recognition system on AWS — IaaS autoscaling, serverless Lambda, and edge-cloud hybrid with IoT Greengrass. Built for CSE 546 Cloud Computing at ASU.
View ProjectweVibe-app
May 1, 2026 – Present
Scalable Express backend for a real-time matchmaking app with Firebase Auth, PostgreSQL/PostGIS, Prisma, Socket.IO chat, Redis pub/sub, GCS signed uploads, and FCM notifications.
View Projectlexlink
April 25, 2026 – Present
End to end encrypted peer to peer messaging app designed for attorney client privilege using Flutter, WebRTC, and ChaCha20 Poly1305 encryption
View Projectcasetally
April 9, 2026 – Present
Legal research platform with hybrid vector and full text search, RAG pipeline using Groq LLM, Next.js frontend, FastAPI backend
View Projectcasetally-mobile
April 6, 2026 – Present
AI powered legal research app with real time LLM streaming, U.S. Code browser, and intelligent search. Built with Flutter and Riverpod.
View ProjectNutritional-Calculator-Web-App
June 4, 2025 – June 4, 2025
Full-stack web app that evaluates nutritional data and recommends healthier ingredients using a SPARQL-powered knowledge graph. Built with Node.js and Next.js, deployed on Vercel. Features real-time input handling, async processing, and efficient caching for fast, intelligent dietary suggestions.
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, demonstrating strong initiative and a passion for building. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit, collaboration style, or experience working within an organizational structure. The projects show a breadth of technologies, which could indicate adaptability, but also a potential lack of deep specialization in a single area relevant to an AI Infrastructure Engineer role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and innovative approach to problem-solving, but direct evidence of collaboration, communication, or stress handling is not available.