AI Engineer with less than a year in LLM pipelines, RAG, and workflow automation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Automation Engineer building real-world LLM pipelines, RAG systems, and agentic workflows — from automating content pipelines to AI-driven healthcare alert systems. Strong full-stack foundation (MERN, Python/Flask) with a growing focus on automation tooling, multi-agent systems, and production-grade integrations.
FAST National University of Computer & Emerging Sciences
BS Computer Science · Computer Science
August 1, 2020 – June 30, 2024
SharkStack
AI and Automation Engineer
November 1, 2025 – Present
India
CodeAlpha
Cyber Security Intern
June 1, 2024 – July 31, 2024
India
Encryptix
AI Intern
May 1, 2024 – June 30, 2024
India
Retell AI Voice Agent Home Maintenance Customer Support
June 23, 2026 – Present
Client needed customer support automated for a home maintenance company. Built a GHL-based intake form to capture issue videos pre-call, then a RAG-powered Retell AI voice agent that answers live using ingested repair policies with guardrails to escalate life-risk issues (e.g. electrical wiring) to a human instead of guiding the caller.
PangolinScript
June 23, 2026 – Present
AI tool analyzing trending competitor YouTube videos to auto-generate scripts, hooks, and in-video cinematography suggestions.
Genie - Finance Chatbot with Automated Web Scraping
June 23, 2026 – Present
Client needed a finance Q&A chatbot backed by live web data instead of a static knowledge base. Built the chatbot, then automated the scraping pipeline - including authenticated scraping for login-gated sources so the knowledge base scaled without manual upkeep.
Critical Patient Alert System
June 23, 2026 – Present
AI pipeline predicting patient deterioration risk from real-time vitals, auto-alerting hospital staff.
Cyber Attack Detection System
June 23, 2026 – Present
ML model using Genetic Algorithms and Reinforcement Learning to detect network intrusions.
AI Engineering Manager Bot – Cross-Platform Dev Ops Assistant
June 23, 2026 – Present
Client needed one place to monitor deployed apps instead of checking five different tools. Built a chatbot integrating Google Analytics, App Store, Linear, Supabase, and GitHub, so the client can review reviews/issues, assign tasks to their team, and review GitHub PRs directly from chat.
Cultural Fit Analysis
The candidate's project diversity, ranging from professional client solutions to personal AI tools, indicates a strong passion for AI engineering and continuous learning. The experience in building multi-agent systems and integrating various platforms aligns well with an innovative and collaborative environment. The target role of 'AI Engineer' is a direct match for the candidate's current experience and stated interests, suggesting a good cultural fit for a team focused on advanced AI development and deployment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a client-focused approach, translating business needs into technical solutions. The ability to integrate various tools and APIs suggests strong problem-solving and operational thinking. The diverse project portfolio implies adaptability and a proactive learning attitude. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.