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.

Preetham Raj Ramraj portrait

Current focus

Full Stack applicationsAWSAgentic AI workflowsMLOps

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

Nov 2025 - Present
  • 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%.

Next.jsReactFastAPIFirebasePythonPHPLDAP
GitHubLiveCase Study

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.

PythonMistral LLMAWS ECSLambdaJWT
GitHubLiveCase Study

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.

AlexaPythonMFCC Feature ExtractionCNNPyTorch
GitHubLiveCase Study

Education

Formal training across computer science, applied AI, and production MLOps.

PG Program - AI/ML, Agentic AI & MLOps

IIIT Hyderabad

Ongoing

B.S. Computer Science, Minor in Entrepreneurship

University of Wisconsin-Madison

Completed

B.Tech Computer Science

Manipal Academy of Higher Education

Completed

Certifications

Current certifications aligned with Gen AI, Agentic workflows, MCP, and delivery practice.

Microsoft

Microsoft Generative AI Engineering

M

Google

Google AI Essentials

G

Agile

Agile Project Management & Delivery (Certified)

A
Contact

Open to work in full-stack delivery work, AI product builds, and platform systems.