Open to SF roles

Krish
Patel

AI Engineer. I build production LLM systems and autonomous mission architectures — published RAG research, shipped at Draper, PhD research in SAR command & control. Looking to join an early-stage team in SF.

GitHub LinkedIn Email Read publication ↗
RAG Systems· AWS Bedrock· FAISS· Chain-of-Thought Reasoning· LLM Evaluation· Agentic Pipelines· Vector Databases· Autonomous Systems· Mission Effectiveness· Python· PyTorch· Docker· Kubernetes· Pydantic· RAG Systems· AWS Bedrock· FAISS· Chain-of-Thought Reasoning· LLM Evaluation· Agentic Pipelines·

Experience

Draper Jun 2024 – Dec 2025

AI/ML Engineer Draper Scholar

  • Architected and shipped a production RAG system for large-scale technical document analysis — AWS Bedrock (Claude 3 Sonnet), FAISS, Titan Embeddings — validated on 50MB+ document corpora with sub-15s latency on 500+ page jobs. Methodology published in Procedia Computer Science (2025); full-system paper in submission.
  • System selected for internal productization targeting TB-scale deployment — currently advising on architecture as it is prepared for vendor rollout.
  • Built an agentic document analyzer using chain-of-thought reasoning, structured function calling, and Pydantic schema validation to classify 10+ categories of quality issues with deterministic, auditable outputs.
  • Engineered a document ingestion pipeline across PDF, DOCX, TXT, and Markdown — intelligent chunking, metadata extraction, batch embedding generation, and optimized FAISS index management.
  • Designed modular software architecture for autonomous drone systems in Python — mission logic, real-time health monitoring, and operator interfaces with clear separation of concerns and fault handling.
  • Built Python libraries and CLI tools for RAG orchestration, semantic search, and LLM evaluation, cutting iteration time for future AI work on the team.
AWS BedrockFAISSClaude 3 SonnetRAGPydanticPython
Arcfield Jul – Aug 2023

Software Engineer Intern Cloud Infrastructure & MLOps

  • Implemented containerized monitoring services in Docker across Azure environments, reducing mean time to detection by 60%.
  • Optimized CI/CD pipelines, cutting release cycles from 2 hours to 20 minutes and enabling faster ML model deployment iterations.
  • Designed telemetry pipelines for model performance tracking, drift detection, and anomaly alerting using Prometheus, Grafana, and custom Python agents.
DockerAzurePrometheusGrafanaCI/CD
AbbVie Jun 2022 – Mar 2023

Cloud Engineer Intern Data Engineering & Analytics

  • Built and deployed a 5-node EMR/Spark cluster for clinical analytics, with PySpark ETL pipelines that reduced processing time by 3.3x.
  • Developed production data pipelines with AWS ETL tools, automated quality checks, LDAP access controls, and performance anomaly alerts.
PySparkAWS EMRGrafanaETL

Projects & Research

MS Thesis · Published
Watch demo ↗ GitHub ↗

SEMP RAG Analyzer

Production RAG system for automated document quality analysis. Claude 3 Sonnet + FAISS vector search + real-time streaming web UI. Validated on 50MB+ document corpora with sub-15s latency; selected for internal productization targeting TB-scale deployment.

Published: Procedia Computer Science, Vol 268, 2025  ·  Read paper ↗  ·  Selected for internal productization — advising on vendor deployment
PythonAWS BedrockFAISSClaude 3 SonnetFlaskRAG
PhD Research · Active
GitHub ↗

SAR Mission Simulator

Simulation framework for search and rescue drone operations — command and control architectures, mission effectiveness modelling, and autonomous decision-making under uncertainty.

PythonAutonomous SystemsC2Mission PlanningSimulation
In Submission

Production RAG Architecture

Full-system paper covering end-to-end RAG architecture, evaluation methodology, chunking strategies, and agentic reasoning pipeline — extending the conference work into a complete system description.

RAG EvaluationRAGASAgentic AILLM Infra

Education

In progress 2021 – present

PhD Artificial Intelligence · Worcester Polytechnic Institute

MS ECE completed 2025 (Draper Scholar). BS ECE 2024, CS Minor. Active research: command and control architectures for SAR drone operations and mission effectiveness modelling.

Technical stack

AI / ML

Claude, GPT-4, AWS Bedrock API · RAG Systems · FAISS, Pinecone · Prompt Engineering · Chain-of-Thought · Pydantic · Function Calling · Embeddings · PyTorch · TensorFlow

Software

Python (expert) · C++ · FastAPI · Flask · Django · Microservices · Async/Await · REST APIs · GraphQL

Cloud & Infra

AWS Bedrock / Lambda / S3 / EMR · Azure · Docker · Kubernetes · Terraform · Serverless · IaC

Data & Monitoring

PySpark · Apache Airflow · ETL Pipelines · SQL · NoSQL · Prometheus · Grafana · Telemetry

Backend proficiency

AWS
Amazon Web Services SAP-C02 · SAA-C03
Azure
Microsoft Azure AZ-305 · AZ-104
Red Hat
Red Hat RHCSA
Kubernetes
Kubernetes CKAD

Let's build
something real.

I'm actively looking for AI engineer roles at early-stage teams in SF. If you're building with LLMs, RAG, or autonomous systems — reach out.

Download resume
Or reach out directly: kdpatel@wpi.edu  ·  LinkedIn  ·  GitHub