- Decoupled telemetry from backup workflows, cutting provisioning time by 53% and upgrade time by 75%.
- Shipped diagnostics automation: daily telemetry, S3 uploads, Lambda anomaly detection, and Teams alerts.
- Built multi-tenant onboarding orchestration, reducing infra costs by 70%.
- Implemented data lifecycle archival to S3 with seamless rehydration, cutting storage spend by 46%.
- Moved diagnostics to push-based deployments enabling complex workflows with minimal developer effort.
Available for ambitious teams · US & remote
Building resilient products at the intersection of cloud, data, and distributed systems.
Software Engineer crafting scalable backends, developer-friendly platforms, and delightful experiences. Currently shipping at MicroStrategy; previously shaped early-stage architectures at Hyphenova.
4.07/4
MISM GPA · CMU
70%
Infra cost reduction
53%
Faster provisioning
About
Systems-focused engineer with a product mindset.
I design and ship dependable backends, platform tooling, and observability that let teams move quickly without sacrificing quality.
What I do
- Design scalable services, data pipelines, and platform foundations.
- Automate diagnostics, telemetry, and deployment workflows to reduce toil.
- Balance reliability with speed—pairing strong observability with clean DX.
Highlights
- Cut deployment cost by 70% via multi-tenant onboarding platform.
- Reduced provisioning time by 53% by decoupling telemetry from backups.
- Built anomaly detection with AWS Lambda + Teams alerts across environments.
Experience
Impact across product stages
- Redesigned backend architecture and database models; cut deployment costs to near zero via containerized Supabase.
- Built cross-platform apps with React Native for iOS, Android, and web from a unified codebase.
- Established robust API infrastructure with early-stage architecture decisions to unblock fast growth.
Projects
Selected builds
Infra · MLOps
Movie Recommendation System
Scalable recommender using collaborative + content-based filtering with Flask microservices, Dockerized inference, Jenkins retraining, and Prometheus/Grafana monitoring.
Python
Flask
Kafka
Docker
Prometheus
ML · Research
Little Language Model
Custom RNN with self-attention for TinyStories generation. Implemented token embeddings, RNN cells, scaled dot-product attention, and training pipeline with PyTorch.
PyTorch
Attention
RNN
AI · Vision
Handwritten Character Recognition
One-hidden-layer neural network with sigmoid and softmax for OCR, optimized via SGD and tuned hyperparameters to achieve strong classification accuracy.
NumPy
Neural Nets
Optimization
Platform · Fullstack
CodEd · Hackathon Winner
E-learning platform with React.js frontend and Node.js APIs over MongoDB, plus secure remote code execution via Judge0 supporting 40+ languages.
React
Node.js
MongoDB
Judge0
Skills
Systems, cloud, and product delivery
Languages
Java
Python
Go
Swift
Dart
Server Side
Spring Boot
gRPC
GraphQL
REST
Kafka
FastAPI
Flask
Fiber
SQL
Redis
MongoDB
Cloud & Ops
Docker
Kubernetes
Jenkins
AWS
GCP
Azure
Terraform
Helm
Tooling
Git
GitHub
Confluence
Jira
Contact
Let’s build reliable, elegant systems together.
Open to full-time roles and collaborations in platform engineering, distributed systems, and product engineering.