About Me
A technology enthusiast with over a decade of experience working on cloud-native enterprise systems. I enjoy the challenge of AI/ML architecture, thinking through responsible AI, and contributing to distributed systems that scale — always with a lot still to learn along the way.
Experiences
Education
Master of Science (MS) in Computer Science and Systems
2021 · University of Washington
Thesis: Enhancing Observability of Serverless Computing with the Serverless Application Analytics Framework (2021)
Bachelor of Science (BS) in Computer Science
2010 · Baha'i Institute of Higher Education (BIHE)
Thesis: Exploring research profiling by analyzing techniques, building a knowledge tree, and mining research articles (NLP datasets) to identify emerging research trends
Publications
Skills
ML & AI — MLFlow (Databricks), Snowflakes, PySpark, PyTorch-Geometrics (GNN), TensorFlow, RAG-based design, LLM-based, Vector database (Chroma, PineCone, etc.), Time-series LSTM, Agentic Architecture
Languages — Java, Python
Cloud & DevOps — Cloud Foundry, K8s & Docker, AWS (ElasticSearch, Lambda, S3, CloudWatch,CloudFormation, SNS/SQS), Jenkins, Prometheus, Terraform, Azure AI-Studio, GCP Compute clickhouse, Azure Kusto
Frameworks & Tools — Spring Boot, Maven, Bash, Hadoop, Redis, RabbitMQ, Kafka, Apigee, CouchDB, Grafana, OpenWhisks|IBM Bluemix
Misc. — R, C(90 & 99), C++, Assembly(AVR $ 8086), Go, TypeScript, TCL, JavaScript Angular, MongoDB
