Dinesh Pabbi ( AWS Certified Cloud Practitioner )
Email: dineshpabbi10@outlook.com | Phone: 604-720-6201 | Profile: LinkedIn | Leetcode : Leetcode
EXPERIENCE
Workday | SDE-3
February 2023 - Present
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Reduced data processing costs by 40% by introducing custom-built platform on Kubernetes using Ray
& RayDP for Spark workloads and moving away from Databricks
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Optimized data pipelines handling hundreds of terabytes scale,
cutting runtimes by up to 60% using concurrency and Pyspark optimizations
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Enhanced recommendation service performance by implementing
React-based UI with recommendation pills, a FastAPI
microservice, and Redis caching, reducing latency by 30% for over 1 million daily hits.
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Led the migration from Airflow to Dagster and significantly reduced
development time by creating a standardized tooling using custom built
CLI & Docker.
SAP Canada | Software Developer Specialist May 2020 - February 2023
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Acted as a lead developer for a project used to track security
compliance of SAP's software products across jurisdictions reducing compliance exercise duration by more than 60% .
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Lead 3 junior developers and pioneered a new back-end application in
Spring Boot and introduced in-memory cache with GraphQL for quicker read ops (around ~30% improvement).
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Re-wrote front-end applications in Angular & React from scratch improving responsiveness by 40% by reducing network calls by almost
50%.
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Designed a mechanism to off-load read/write traffic from a HANA DB
Server to PostgreSQL while ensuring eventual consistency
The University of British Columbia | Research Assistant
January 2020 - May 2020
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Assisted collection and processing of data-set containing 1.5 billion
(about 5 TB) tweets in 100+ languages.
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Used Apache spark to perform big-data analysis and generate
visualizations on collected data-set recording changes in trending keywords, sentiment etc. across
countries during COVID-19
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Successfully published our research (Mega-Cov) in ACL anthology (Link)
Other Experience
Freelance | Full Stack Developer, Platform Engineering
-
Built a custom CRM solution for a small home maintenance business
using Angular, Postgres, NestJs and K3s based custom kubernetes
cluster on Hetzner Cloud
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Implemented in-house LLM based invoice search using Ollama, PgVector
and LangChain
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Reduced infrastructure costs by moving databases (CloudNativePg),
RabbitMQ (K8s Operator) and GPU workloads from AWS to K3s based custom
kubernetes cluster (GPU-Operator) on Hetzner bringing the costs down by almost 70%
Founder, Elasbot | Chat-bot widget service for websites
July 2020 - March 2021
(Angular, Django, RASA, AWS, Firebase, Postgres)
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Developed a conversational AI platform startup to easily design and
integrate smart chat-bot widgets into any website.
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Designed a real-time notification and chatting system for human based
fallback interaction.
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Implemented web dashboards enabling users to train models, upload
datasets, view chat history and analytics.
-
Enabled continuous integration with Github Actions with AWS EC2 as
deployment platform
EDUCATION
The University of British Columbia
Vancouver, British Columbia
Masters in engineering (ECE) , GPA - 3.73
September 2019 – May 2021
RELEVANT SKILLS
Programming Languages : , JavaScript, Java, Python, Typescript
Web : ReactJs, React Native, Angular, GraphQL, Spring Boot, Django,
ExpressJs, Flask, SAP XSJS, FastAPI
DevOps : AWS, Cloud Foundry,, Docker, Kubernetes, Jenkins, Github Actions, CloudNativePG,
ML/DL : Langchain, Ollama, PyTorch, Keras, PySpark, Pandas, NumPy , Matplotlib
Other : JUnit, Linux, Selenium, Postgres, SQLServer, Websockets,
Redis
PERSONAL ACHIEVEMENTS
Publication - Mega-COV : A Billion-Scale Data-set of 100+ Languages for COVID-19 (Link)
Runner up - Micro Project Challenge : Developed an intern attendance gamification platform at SAP to increase
virtual participation during pandemic