Open to opportunities

PAVAN KARTHEEK KONAM

@pavankartheekkonam

Message

I build production AI systems using LLMs, RAG, computer vision, and multi-agent workflows.

United States

Message

What I'm looking for

I'm open to full-time AI engineering roles where I can own features end to end, from UI and vector stores to fine-tuned models, and build practical LLM, RAG, and multi-agent products.

At Ruvaah, I took a hiring-fraud intelligence platform from zero to its first paying customers, building the full stack and a nine-track real-time trust-scoring engine for document forensics, GitHub activity, and fraud-ring detection.

Previously, I built RAG, fine-tuned LLM, computer-vision, and clinical ML systems at HauteCarat and Cognizant for healthcare and e-commerce use cases. I also taught machine learning, AI, linear algebra, and MATLAB at Northwestern while completing an M.S. in Artificial Intelligence.

Experience

Work history, roles, and key accomplishments

Current

Founding Engineer

Current

Ruvaah

Apr 2026 - Present (4 months)

Took the product from zero to its first paying customers in weeks, architecting the full stack solo. Built the nine-track scoring engine behind the real-time trust score and designed multi-tenant architecture with role-based score weighting.

Next.js Fastify TypeScript Python fastAPI PostgreSQL Neo4j Redis Claude Code Cursor

Graduate Teaching Assistant & Lecturer

Northwestern University

Jan 2025 - Dec 2025 (11 months)

TA'd two ML and AI courses and independently designed and taught a summer linear-algebra and MATLAB course for engineering students.

Teaching Linear Algebra Matlab Machine Learning AI

AI Software Engineer (Summer Internship)

HauteCarat

Jul 2025 - Sep 2025 (2 months)

Built Intellicore, a RAG assistant over a Pinecone-backed knowledge layer, and fine-tuned LLMs and embedding models on domain data. Shipped a computer-vision pipeline that turned 3D renders into on-model product imagery.

RAG Pinecone OpenAI fastAPI Hugging Face Transformers Pandas Airflow PyTorch OpenCV YOLOv8 Docker GitHub Actions MLFlow

Programming Analyst – AI/ML

Cognizant

Jul 2022 - Aug 2024 (2 years 1 month)

Increased clinical efficiency over 25% by architecting an AI model for CVS Health. Achieved 92%+ production accuracy on a clinical speech-to-text system and lifted model performance about 20% through feature engineering.

PyTorch TensorFlow SQL ETL AWS Azure Feature Engineering Statistical Analysis ML Pipelines Healthcare

Computer Vision & ML Intern

Cognizant

Feb 2022 - Jun 2022 (4 months)

Trained computer-vision models in PyTorch with ~94% accuracy on medical object detection and deployed them into diagnostics workflows on AWS, Azure, and GCP.

PyTorch Computer Vision AWS Azure GCP Medical Imaging Object Detection