Systems and infrastructure engineer focused on distributed systems, resilience, and scale.
View WorkProduction-grade service design across Python, Go, and Node - GraphQL APIs, async task pipelines with Celery, and systems architected from the ground up for sub-120ms latency, five-nines reliability, and zero-downtime operations.
Full-stack cloud ownership across AWS - containerized workloads on ECS and Kubernetes, event-driven pipelines on Kafka, infrastructure codified in Terraform, and CI/CD via GitHub Actions. Built for teams that ship fast and sleep well.
Data layer design that doesn't become a bottleneck - relational integrity in Postgres, sub-second analytics at scale in Apache Pinot, Redis caching, DynamoDB for high-throughput key-value, and Elasticsearch for full-text. The right store for the right workload.
Systems that hold up under pressure - event-driven architectures, reliable message queues, backpressure handling, and fault isolation patterns that keep failures local and keep the system running.
End-to-end ML infrastructure built for production - training pipelines with live checkpoint-restore (CRIU/CUDA) for zero-loss preemption, ONNX-optimized model serving, experiment tracking, and vector search powering semantic retrieval at scale.
Full-stack observability that surfaces signal in the noise - structured logging, custom metrics, distributed tracing with Sentry and Datadog, and alert design that pages on what matters and nothing else.
Distributed, Serverless Email Platform
A production email platform handling 200K+ messages/month for under $50 - a cost structure that would be impossible on traditional infrastructure. Async job queues, real-time event ingestion, multi-region replication, and a retry/DLQ architecture that treats failure as a first-class concern.
Open-Source Flask CLI (42K+ Downloads)
Eliminated the hours-long boilerplate tax on Flask projects - an open-source CLI now adopted by 42K+ developers that generates production-ready scaffolding with WebSockets, database integration, and test infrastructure wired up from day one.
Multi-Agent LLM Orchestration System
An orchestration layer for LLM agents that treats inference cost and task continuity as core engineering concerns - dynamic model tiering routes work to the right model at the right cost, an append-only audit trail enables partial task recovery without redundant inference, and a preference engine that sharpens its routing decisions based on observed user judgment over time.
CuriosityAI @CalHacks 12.0
Built at CalHacks 12.0 - a semantic research discovery engine that surfaces connections humans would miss. High-dimensional embeddings in ChromaDB map the research space, dimensionality reduction collapses it into navigable 3D clusters, and LLMs generate novel, feasible research directions at the boundaries of existing knowledge.
ML Punch Classification System
A rigorous ML study showing the right inductive bias beats more compute - five architectures from scratch CNN to fine-tuned ResNet-18, all outperformed by a pose-based LSTM that leverages skeleton features invariant to lighting, background, and camera angle. A concrete demonstration that feature engineering strategy matters more than model complexity.
Real-Time Threat Detection Platform
A cloud-native threat detection platform built for operational rigor from day one - ONNX-optimized ML models served via Flask on ECS Fargate, React frontend on S3, infrastructure fully codified in Terraform with environment-isolated IAM, end-to-end CloudWatch observability, and automated pipelines that promote to staging and production without manual intervention.
Custom Programming Language
A programming language designed from first principles for a specific class of problem - declarative deconstruction of complex data. Built in Haskell with a Parsec grammar, pattern matching with variable binding, recursive scoping, and monadic error propagation. A demonstration of language theory applied: the right semantics make the hard problems tractable.
San Jose State University · GPA 4.0 / 4.0
Aug 2025 – May 2027
Database Systems Principles · Distributed Systems · Cloud Computing · Advanced Parallel Processing · Machine Learning
Kurukshetra University
Aug 2018 – Jul 2022
Data Structures & Algorithms · Advanced Algorithms · DBMS · OOP · Computer Networks · Operating Systems