Praveen Kumar / Résumé

Applied AI · Post-training · Physical AI

Praveen Kumar

Mountlake Terrace, WApkvraman@gmail.com

Applied AI engineer working at the model layer: post-training, evaluation, and physical AI. Engineer with 12+ years building production systems and hands-on experience in LLM fine-tuning, reinforcement learning, evaluation, and inference benchmarking. Won Flexport’s 2026 Summer Hackathon for a reusable model-adaptation pipeline; implemented GRPO and evaluated tradeoffs between classification accuracy, automation coverage, and high-confidence errors. Built a self-funded imitation-learning robot tested in a live warehouse. Background in numerical simulation and parallel computing.

Research Experience

Professional Experience

Flexport

May 2025 – Present
Senior Software EngineerSeattle, WA

Global logistics technology platform powering freight forwarding and supply chain operations.

LLM post-training: hackathon prototype → taxonomy agent → production evaluation

  • Won Flexport’s 2026 Summer Hackathon by building a reusable QLoRA training and evaluation pipeline across tool-calling operations, document generation, and natural-language-to-Python workloads.
  • Extended the approach to invoice taxonomy classification, fine-tuning Qwen3.5-9B on AWS GPU instances using historical operational data and iterating on dataset quality, training configuration, and agent-context alignment.
  • Implemented GRPO on SFT-trained LoRA adapters, sampling eight responses per prompt and designing rewards around correct automation, human review, and costly high-confidence errors.
  • Evaluated SFT and RL checkpoints within the full agent on 300 cases: accuracy increased from 66.7% to 69.0%, but errors among high-confidence predictions rose from 10.3% to 16.1%, revealing a regression in reliability and modeled business value.
  • Diagnosed weak GRPO learning signals: 64.5% of sampled groups in an initial 4B experiment had identical rewards, yielding zero group-relative advantage.
  • Benchmarked vLLM configurations and concurrency; collaborated with Commerce Engineering and Baseten on deployment and evaluation of the fine-tuned model for inference, comparing throughput, latency, and GPU-hosting economics against API inference at observed workload volumes.

Read the technical write-up

SortBot: Autonomous warehouse pick-and-place robot

  • CAD-designed and 3D-printed a 6-DOF dual-arm (SO-101) sorting station with vision-based perception; trained an imitation-learning policy (ACT/LeRobot) from teleoperated demonstrations.
  • Integrated with warehouse systems and tested in a live warehouse environment in Wisconsin: a combined hardware + software product applying my mechanical engineering background.

Watch the warehouse demo

Port Visibility: video understanding for port operations

  • Goal: Capture and identify every auditable container-transfer event in ports, report a count range with per-event evidence, timestamps, and uncertainty, and abstain when footage does not support a reliable conclusion.
  • Built the capture pipeline: evaluated viewpoints in Seattle and Tacoma, captured container-ship footage (phone, USB webcam, DSLR), and automated Mac-controlled timestamped clip capture.
  • Ran systematic experiments across open VLMs (Gemma, Molmo, Qwen, InternVL, VideoLLaMA, TimeLens) and one-/multi-shot prompting. Built the strongest pipeline as structured CV + staged verification: stabilization, fence masking, contrast enhancement, motion detection, object detection and tracking and crane-geometry rules.

Engineering delivery (core role)

  • Built and shipped BoomiCodeReviewAssistant to production: an AI-powered code review platform (Python, Claude) automating PR-level review of Boomi integrations: parses XML into architecture graphs, flags bugs, dependency risks, and security deviations. Adopted by the Ecosystem team for 200+ production reviews; migrated to AWS.
  • Designed and built multiple highly scalable connectors in FUSE (data-ingestor): NetSuite, CSV, Excel, SFTP, and API. Built worker-management features including scaling, downloads, account management, and authentication.
  • Led an AWS security remediation initiative: migrated the Ecosystem team from long-lived shared IAM credentials to Okta SSO-based temporary sessions for S3, and Boomi's AWS integration from IAM users to IAM Roles Anywhere with X.509 certificate-based authentication reducing exposure from long-lived credentials, aligned with zero-trust best practices.
  • Led cross-functional collaboration across 4 engineering teams (Seattle, India, China) to ship the multiple inventory use cases on a tight timeline.

Expedia Group

Mar 2023 – May 2025
Software Engineer IIISeattle, WA

Leading global provider of online travel services.

  • Led the requirements gathering and development of QCE Test Data as a Service in Java, enabling internal teams to simulate customer workflows such as account creation and Identity Management, loyalty management, and bookings.
  • Reduced test account setup time from 5 hours to 5 minutes and booking creation time from 4 hours to 10 minutes.
  • Evangelized best security practices around identity management and gave talks within the company on security concepts like SSO, OAuth, Okta, Active Directory and SAML.
  • Built Data Lake infrastructure for analytics monitoring which surfaced through Tableau.
  • Marketed QCE Test Data as a Service to new customers within Expedia increasing adoption from 1 team to 6 with number of accounts increasing from 60 accounts to 1500 accounts.
  • Advocated for quality and reliability by establishing a QCE Test Data Dashboard using React and Python.
  • Surfaced actionable metrics for leadership, enabling data-driven decision-making and reducing deployment risks by ensuring quality benchmarks.
  • Regularly troubleshoot issues across APIs (Datadog), logs (Splunk), and infrastructure (Kubernetes), identifying and resolving bugs affecting customer flows.

Flexe

Jan 2020 – Feb 2023
Software Engineer IISeattle, WA

Start-up that delivers tech-powered, omnichannel logistics and warehousing for e-commerce and retail partners.

  • Early employee; built scalable integration systems for enterprise logistics clients.
  • Built EDI Workflow Services in Scala and TypeScript to replace Dell Boomi integrations, streamlining third-party data pipelines for Fortune 500 partners — driving a 50% increase in user load, 25% reduction in integration time, saving $400K annually, and reducing bugs by 20%.
  • Designed and launched a React-powered API documentation portal, reducing partner onboarding time by 25%, and served as the go-to technical contact for Fortune 500 partners on APIs, webhooks, and security.
  • Upgraded Node.js from v10 to v18, componentized frontend to Storybook, and implemented feature flagging infrastructure (LaunchDarkly, FeatureHub) to accelerate release cycles.

Expedia Group

Sep 2013 – Dec 2019
Software Engineer IIChicago, IL

Leading global provider of online travel services.

  • Led migration of on-prem services and databases to AWS — a multi-team, multi-region, multiyear effort collaborating with solution architects, engineers, legal, and Amazon, resulting in the deprecation of hundreds of datacenter servers.
  • Owned GDPR compliance strategy for European services, working with legal and regulatory teams to design data deletion architecture — addressing an estimated $2M in potential compliance exposure.
  • Implemented Elasticsearch as a fallback to Solr/Cassandra clusters, reducing latency by 20% during throttling, enabling new post-booking revenue features, and rewriting onboarding code with Spring Integration and Swagger to quickly add new APIs.
  • Partnered with Bank of America engineering teams to onboard them to the Expedia Network, including SSO authentication, API integration, and third-party audit infrastructure.

Wolfram Research

Sep 2011 – Aug 2013
Quality Assurance EngineerChampaign, IL

Leading computational platform used across multiple domains.

  • Developed and maintained the vision, strategy, and roadmap for executing test plans using Mathematica and C++.
  • Improved test coverage by 45% by creating new test suite in Python and then visualizing all quality metrics on internal dashboard
  • Collaborated with software engineering teams to drive the initial Wolfram Alpha project to completion. Was part of the launch committee, responsible for the analytics dashboard and the customer feedback platform.

Education

Skills and Expertise

AI/ML
QLoRA/LoRA fine-tuning, PyTorch, PEFT, Claude Agent SDK, AWS Bedrock, RAG, model evaluation design, held-out benchmarking, GPU training (AWS g5/A10G), VLM evaluation (Qwen-VL, Molmo, InternVL, VideoLLaMA, TimeLens, Gemma), computer vision (OpenCV, SAM 2, CoTracker), imitation learning (ACT, LeRobot), CAD / 3D printing, GRPO, reward engineering, SFT, vLLM, Baseten inference deployment, inference benchmarking, confidence-based evaluation, MPI, OpenMP, C.
Languages
TypeScript, JavaScript, Java, Python, Scala, SQL, C# (familiar)
Frameworks
React, Node.js, Spring, Temporal, Ruby on Rails, Vue.js (familiar)
Infrastructure
AWS (IAM, S3, KMS), Kubernetes, Docker, CI/CD (GitHub Actions, ArgoCD)
Data
PostgreSQL, Snowflake, Elasticsearch, Redis, EDI, SFTP
Architecture
Event-driven (EDA), service-oriented (SOA), REST APIs, gRPC, GraphQL, OAuth 2.0
Testing & Ops
Jest, E2E testing, SQL injection prevention, Datadog, Splunk, CI/CD pipelines, feature flags (LaunchDarkly), infrastructure monitoring