Shashank Nallabothu
Driving the Shift from Apps to Agentic Intelligence | AI Engineer | Web x LLMs x Autonomous Product Systems
- Role
- Ai Engineer at Infoshare Systems, Inc.
- Location
- Detroit, MI, US
- LinkedIn followers
- 500 followers
About Shashank Nallabothu
Full Stack AI Engineer | 5+ Years | Building AI That Actually Works I design…
Experience
Ai Engineer
May 2024 — Present · US
Automated screening of resumes per each job posting by building an agentic pipeline using LangGraph and locally hosted open-source LLMs, cutting HR review time by 65% and enabling faster candidate shortlisting.2. Built an AI-powered web portal using NextJS that streamlined the job application process, enabling candidates to submit resumes online and giving HR instant access to auto-generated fit scores and reports.3. Designed a RAG-based retrieval system with section-wise chunking and ChromaDB vector storage for faster retrieval, achieving 85% skill-match accuracy between resumes and job descriptions.4. Engineered an end-to-end reporting workflow that generated Excel sheets with fit scores and reasoning, reducing recruiter decision-making time by 40%.5. Built a FastAPI backend to enable seamless interaction between the retrieval system, reporting pipeline, and HR interfaces.6. Deployed the solution on AWS EC2 for scalable processing and used AWS S3 for secure storage of candidate reports and fit-score outputs, enabling organization-wide HR access.7. Architected and orchestrated a multi-agent AI system automating insurance underwriting, claims processing, and policy verification, reducing manual review time by ~70% and enabling underwriters to process 3–5x more policies daily.8. Developed Vision-Language Agent that Pulls property data from Zillow, Google Street View, and county portals, performs image-based risk scoring, and generates risk justification reports, cutting risk evaluation time from ~30–45 min to <5 min per property, with human-in-loop validation for accuracy9.Built a RAG Policy Agent: Enables real-time retrieval and cross-validation of hundreds of policies, accelerating coverage checks by 80% and ensuring compliance and consistency across claims. Engineered a claims processing agent that classifies claim eligibility, calculates deductible/max payout, references historical claims data, and auto-generates draft responses
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