Nadim is available for hire
Hire NadimNadim Abrar
Verified Expert in Engineering
Software Developer
Dublin, Ireland
Toptal member since December 6, 2021
Bio
Nadim is a senior software engineer specializing in distributed systems and infrastructure. At Netflix, he cut content compliance turnaround from 7 days to 1 hour, saving $20+ million annually. At Google, he built autoscaling systems for GCP. At Huawei, he delivered planet-scale load balancers processing 9 million packets per second. Nadim excels at taking complex problems from zero to production.
Portfolio
UniQuest Pty Ltd
Python, React, Matplotlib, FastAPI, REST APIs, JavaScript
Netflix
Amazon Web Services (AWS), Enterprise AI, Enterprise, Algorithms, APIs...
Holi Credit Inc.
Python, JavaScript, PostgreSQL, Google Cloud, Google Cloud Platform (GCP)...
Experience
- Software Development - 4 years
- Cloud Infrastructure - 3 years
- Kubernetes - 3 years
- Google Cloud - 3 years
- Ethereum - 2 years
- Node.js - 2 years
- Distributed Systems - 2 years
- Blockchain - 2 years
Preferred Environment
Slack, Ubuntu, Zoom, Google Meet
The most amazing...
...thing I've contributed to is a distributed autoscaler at Google that seamlessly scales millions of VM groups across Google Cloud with no human intervention.
Work Experience
Computational Biology/Software Engineer
2025 - 2026
UniQuest Pty Ltd
- Performed Single-Molecule Localization Microscopy (SMLM) analysis — a scientific platform for processing and analyzing super-resolution microscopy data at the molecular level.
- Implemented the NASTIC algorithm for clustering single-molecule localization data, used in biological/biophysics research to identify molecular groupings.
- Contributed to a full-stack web platform—Next.js front end and FastAPI back end, containerized with Docker Compose, providing a browser-based UI for running these otherwise complex scientific analysis pipelines.
Technologies: Python, React, Matplotlib, FastAPI, REST APIs, JavaScript
Senior Software Engineer
2025 - 2026
Netflix
- Served as a senior software engineer in the content promotion and distribution organization, working on systems underpinning maturity ratings, trust and safety, and content compliance at a global scale.
- Re-architected maturity-rating workflows by replacing vendor-driven processes with an automated, agent-based pipeline, cutting turnaround time from 7 days to under 1 hour and removing external dependencies, resulting in $20+ million annual savings.
- Led the productionization of a direct-to-rating algorithm that predicts maturity ratings via automated video analysis, enabling faster, scalable, and more consistent classification.
Technologies: Amazon Web Services (AWS), Enterprise AI, Enterprise, Algorithms, APIs, Machine Learning
Senior Software Engineer
2025 - 2025
Holi Credit Inc.
- Developed a video understanding data pipeline to extract insights from short-form videos, enabling structured analysis and retrieval.
- Built a recommendation engine leveraging KNN search in a multimodal vector space to enhance content discovery.
- Ran experiments comparing multimodal embeddings against video-to-text descriptions with text-based vector search to evaluate retrieval effectiveness.
Technologies: Python, JavaScript, PostgreSQL, Google Cloud, Google Cloud Platform (GCP), Large Language Models (LLMs), Selenium, Vectorization, Data Pipelines, OpenAI API, Machine Learning, Browser Automation, Node.js, browserbase, APIs
Senior Software Engineer
2022 - 2024
Huawei Technologies Co.
- Worked on resolving reliability issues in Huawei Cloud, enhancing overall system robustness and customer satisfaction.
- Delivered a multi-tenant L4 load balancer from conception to production, onboarding the first batch of clients.
- Optimized a data plane to process 9 million packets per second through a single node, significantly enhancing performance and scalability.
Technologies: Algorithms, Networking, Intel DPDK, Software-defined Networking (SDN), APIs
Engineering Lead
2021 - 2022
Multiplyr
- Contributed to the design and implementation of Alpine DeFi’s yield-bearing vault. Designed and implemented assets, rebalancing protocol between Ethereum and Polygon using technologies like Polygon POS Bridge, Polygon FX Bridge, and Wormhole.
- Built a production-grade infrastructure for Apline DeFi’s back-end workloads and data pipeline from scratch using technologies like Terraform, Kubernetes, ArgoCD, Grafana, Prometheus, Github Actions, Openzappelin Defender,. AirFlow and Kafka in AWS.
- Built and managed a remote team of 5 people in Asia and Europe.
Technologies: Solidity, Ethereum, Polygon, Solana, Amazon Web Services (AWS), Kubernetes, DevOps, APIs
Software Engineer
2019 - 2021
- Contributed to state-of-the-art autoscaling solutions for several Google Cloud offerings such as Compute Engine, Google, and Kubernetes Engine.
- Modernized the production platform for Autoscaler back ends.
- Contributed to the design, implementation, and deployment of highly distributed back-end services that handled Google-scale workloads seamlessly.
- Reviewed engineering designs, and created and implemented solutions that exceeded performance expectations.
Technologies: Distributed Systems, Cloud Infrastructure, Autoscaling, C++, Go, Python, Java, Google Cloud, Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Google Compute Engine (GCE), APIs
Core Team Member
2018 - 2019
Covalent Foundation
- Implemented COVA, the native token of the Covalent protocol that allows users to run a computation on secret data in a secure off-chain computation layer.
- Contributed to the design of a bridge between the off-chain computation layer and Ethereum.
- Designed an algorithm to parallelize sending COVA to 30,000 users who joined the airdrop campaign of Covalent while ensuring the security of the funds.
- Contributed to the design and implementation of the COVA wallet, which enabled users to send COVA to another user via a phone number.
- Assisted the front-end team in building a TypeScript SDK for interacting with Ethereum Smart Contracts and Tendermint-based custom blockchains.
Technologies: Blockchain, Ethereum, Web3.js, BigchainDB, Tendermint, Node.js, Express.js, MongoDB, React, Solidity, PostgreSQL, Redis, APIs
Intern
2018 - 2018
Samsung
- Assisted the voice command team and improved the accuracy of the existing machine learning model.
- Trained Samsung engineers for Samsung’s internal international coding competition due to my prior experience in coding competitions.
- Learned about agile software development principles patterns and practices.
Technologies: TensorFlow, Python, APIs
Software Engineer
2018 - 2018
DataSaaS
- Engineered a data pipeline to pull publicly available data from Reddit, Telegram, and several ICO websites to gather training data for a prediction model which predicts the likelihood of success upon investing in a new cryptocurrency.
- Contributed to the design of the HealthDex data marketplace that monetizes health data while keeping the personal information of clients private.
- Dockerized several services and translated infrastructures into Terraform configurations to make infrastructure easier to maintain and rapidly scalable.
Technologies: Selenium, Puppeteer, Apache Kafka, Docker, Kubernetes, Terraform, Elasticsearch, MySQL, APIs
Experience
GCE Autoscaler
https://cloud.google.com/compute/docs/autoscalerGCE Autoscaler lets you automatically add or delete virtual machine (VM) instances from a managed instance group based on increases or decreases in load. Auto-scaling helps your apps gracefully handle traffic increases and reduce costs when the need for resources is lower.
Education
2014 - 2018
Bachelor's Degree in Computer Science
Bangladesh University of Engineering and Technology - Dhaka, Bangladesh
Skills
Libraries/APIs
Node.js, Web3.js, React, Puppeteer, TensorFlow, OpenAI API, Matplotlib, REST APIs
Tools
Google Compute Engine (GCE), Google Kubernetes Engine (GKE), Terraform, Slack, Zoom, Google Meet, Intel DPDK, Microsoft Excel
Platforms
Ethereum, Blockchain, Kubernetes, Apache Kafka, Docker, Visual Studio Code (VS Code), Ubuntu, Amazon Web Services (AWS), Google Cloud Platform (GCP)
Storage
Google Cloud, Elasticsearch, BigchainDB, MongoDB, MySQL, Cassandra, PostgreSQL, Redis, Data Pipelines
Languages
C++, Go, Python, Java, Solidity, JavaScript
Frameworks
Tendermint, Express.js, Selenium
Paradigms
DevOps, Software-defined Networking (SDN)
Other
Software Development, APIs, Distributed Systems, Cloud Infrastructure, Machine Learning, Digital Signal Processing, Algorithms, Networking, Autoscaling, Polygon, Solana, Large Language Models (LLMs), Vectorization, Browser Automation, browserbase, Enterprise AI, Enterprise, FastAPI
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