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AI Engineer with 1+ years in LangGraph, Python & FastAPI
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Assessing your cultural and operational fit
AI Engineer Intern with a strong foundation in designing and developing AI-driven solutions, including autonomous support agents, AI sales agents, and semantic deduplication pipelines. Proven ability to reduce costs, improve latency, and optimize workflows using technologies like LangGraph, Python, FastAPI, and various cloud services. Experienced in building full-stack applications with an emphasis on intelligent features and personalized user experiences, as demonstrated through diverse projects and internships.
I.T.S Engineering College
Bachelor of Technology · Data Science
August 1, 2023 – June 30, 2027
Freelance
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HabitatOS-V2
June 5, 2026 – Present
Built a voice-first rental property AI agent using LiveKit Agents and FastMCP microservices for property search, listings, and alerts, secured with JWT auth, prompt-injection defenses, PII masking, and rate limiting. Engineered a three-stage adaptive retrieval pipeline over 10K+ MongoDB listings using hybrid BM25 + semantic search with BiEncoder reranking and CrossEncoder (ms-marco-MiniLM) final ranking, achieving sub-second query latency.
View ProjectAegisOps DRI-SRE Agent
June 5, 2026 – Present
Engineered an autonomous SRE orchestrator using LangGraph (ReAct) and RAG over runbooks, reducing MTTR by 93% (45m to 3m) via a registry of 10+ multi-modal tools for K8s diagnostics and remediation. Architected a 4-layer memory system to enable retrieval of historical incident context and enforce safety-first remediation with zero policy violations. Built closed-loop verification pipelines using Prometheus and K8s API to audit agent actions, implementing a tiered autonomy model (L0-L3) that balances autonomous resolution with human-in-the-loop oversight.
View ProjectPrism
June 5, 2026 – Present
Built an intelligent GitHub MCP Server exposing repository workflows as modular AI-accessible tools for Claude Desktop and agentic frameworks, with multi-tenant auth and deployment on Azure Container Apps. Developed a multi-signal reviewer ranking system and an asyncio-parallel dashboard aggregating PR + CI status across repositories, with automated GitHub Actions-based delivery using immutable SHA-tagged container images.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, ranging from SRE orchestration to CRM and consumer-facing AI applications, demonstrates adaptability and a broad interest in applying AI across different domains. The experience with developing culturally aligned features for Japanese users indicates an awareness of user-centric design and global considerations. The use of various open-source and proprietary tools, along with contributions to personal projects, suggests a proactive and continuous learning mindset, which aligns well with an innovative and fast-paced AI engineering culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong ability to work autonomously (e.g., 'sole AI engineer for Futurist'), problem-solve complex technical challenges (e.g., reducing MTTR by 93%), and deliver measurable business impact. The focus on real-time systems, latency reduction, and cost optimization indicates a results-oriented approach. The experience with multi-modal tools and tiered autonomy models suggests an understanding of operational robustness and human-in-the-loop considerations.