Abbas Kazmi

whoami

Abbas Kazmi

Software Engineer

👋 Hey, I'm Abbas! I'm a Software Engineer at Adobe, where I build the data pipelines, evaluation infrastructure, and backend systems that power our AI products, from agentic search to agent tracing and evals. Before this I interned across Adobe's ML and eCommerce teams, building data pipelines on Databricks and Spark and the backend systems that made them possible, and had a blast serving as Technical Director for HackDavis while studying Computer Science & Engineering at UC Davis with a focus on deep learning.

Outside of work, you'll usually find me on a soccer field or pickleball court, or catching up on movies. Always happy to chat, so feel free to reach out!

experience
Adobe — Software Engineer
[2024.08 — present]
New York, NY
  • Engineered an agent tracing pipeline capturing 100K+ monthly traces via LangFuse, then fine-tuned agent LLMs on the labeled data, boosting task success rate from 25% to 70% and cutting prompt tuning from weeks to hours.
  • Developed internal and public-facing APIs in Java and FastAPI as the backend systems powering the tracing, evaluation, and recommendation pipelines.
  • Deployed and operated cloud-native infrastructure using Azure Functions, Blob Storage, and AWS Bedrock to run the production data and AI workloads behind those pipelines.
  • Built an agent evaluation system with guardrails against unstructured outputs and silent failures, increasing result relevance by 45% and cutting undetected failures by 75%.
  • Architected a reusable agent orchestration harness in CrewAI and LangGraph, standardizing cost tracking and observability across teams and cutting agent setup time from days to minutes.
  • Built an agentic search service and Adobe's first context-aware recommendation app by having agents select search facets from document and parent-app context, driving adoption across 380 customer accounts.
  • Built an automated security alerting system that detects and strips prompt injection and malicious content before it reaches the LLM, cutting triage time 60% and catching 20K+ risks monthly.
  • Built AI-enhanced UI features in TypeScript and ReactJS, including recent-search components and suggested-content panels for agentic experiences.
Adobe — Software Engineer Intern, Machine Learning
[2023.06 — 2023.09]
San Jose, CA
  • Led end-to-end data pipeline development on Databricks using SQL and Python to transform high-frequency clickstream data into actionable insights.
  • Engineered data processing solutions using Apache Spark and Airflow to build the ingestion, preprocessing, and orchestration backend behind the pipeline.
  • Spearheaded development of machine learning models on that pipeline's data to predict user checkouts, achieving ~93% accuracy through meticulous software engineering.
  • Planned model deployments and microservice integrations to enable real-time predictions on Adobe.com.
Adobe — Software Engineer Intern, eCommerce Experiences
[2022.06 — 2022.09]
San Jose, CA
  • Restructured the checkout application's distributed system design by incorporating AWS S3 and EC2 to store and return mock responses.
  • Designed a testing API in TypeScript with Apollo GraphQL that integrates within existing APIs for seamless testing.
  • Implemented Redis caching through an ioredis server for fast retrieval of repeated calls and log analytics.
  • Developed a testing framework for the Adobe Checkout team to validate new, existing, and error scenarios using mock data.
HackDavis — Technical Director
[2022.09 — 2024.09]
Davis, CA
  • Served as Technical Director for HackDavis, one of the largest collegiate hackathons in California, where over 950 students, creators, and leaders come together to build for social good.
education
University of California, Davis
B.S. Computer Science and Engineering — Concentration in Deep Learning & AI
Deep Learning, Computer Vision, Systems Programming & Operating Systems, Computer Architecture, Algorithm Design & Analysis, Software Engineering
stack
agent / AI frameworks
LangChainLangGraphCrewAI LangFusePyTorchAWS Bedrock Azure OpenAI
languages
PythonJavaTypeScript C++Go
tools / platforms
LinuxDockerSQL MongoDB AtlasGraphQLApache Spark AirflowDatabricks React.jsAWSAzure