Preetham RajRamraj
Full-Stack Engineer | AI Product, LLM & Agentic Workflows
Full-Stack Engineer with 5+ years of experience building production web platforms, cloud-native systems, and AI-powered product features using Next.js, TypeScript, Python, FastAPI, AWS, and Docker. Experienced in LLM integration, LangGraph-based agentic workflows, document parsing, structured extraction, and scalable full-stack delivery across startup and enterprise environments.

Current focus
Stack / Expertise
A focused toolkit across full stack engineering, agile delivery, and applied AI.
Rotating highlight
Next.js
01 / 14
Work Experience
Experience across full-stack development, AI product, enterprise SaaS, ERP, startup delivery, and cloud-native engineering.
AI Lead / Full-Stack Engineer
UPSY
Remote
- Defined and shipped four core AI features from zero: course recommender, readiness and experience-fit scoring, resume-brochure parsing, and bridge-learning paths using LangGraph-based agentic workflows and structured LLM extraction.
- Designed OCR and document parsing pipelines with PaddleOCR-VL plus LLM-assisted extraction to normalize resumes and brochures into structured skill signals with validation and confidence scoring.
- Led full-stack delivery across Next.js and TypeScript frontend, Python and FastAPI AI services, and Prisma-backed models while running Agile sprint cycles with product stakeholders.
Selected Projects
Selected builds spanning operations, AI assistants, and voice-first experimentation.
Project 01
Visitor Management Platform
Built an in-house visitor platform with Next.js, FastAPI, Firebase / Firestore, and LDAP SSO, replacing a commercial system and reducing gate delays by 40%.
Project 02
AI Chatbot for Sniffi
Built an authenticated AI assistant for navigation, booking, and tele-consults, integrated into a Flutter app with AWS-backed services.
Project 03
Voice AI Prototypes
Built voice-driven prototypes including an Alexa assistant and selector interface for guided, retrieval-backed interactions with LLM-powered flows.
Education
Formal training across computer science, applied AI, and production MLOps.
PG Program - AI/ML, Agentic AI & MLOps
IIIT Hyderabad
B.S. Computer Science, Minor in Entrepreneurship
University of Wisconsin-Madison
B.Tech Computer Science
Manipal Academy of Higher Education
Certifications
Current certifications aligned with Gen AI, Agentic workflows, MCP, and delivery practice.
Microsoft
Microsoft Generative AI Engineering
Google AI Essentials
Agile
Agile Project Management & Delivery (Certified)