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Hi, I'm Aufar Laksana 👋

I'm a Software Engineer currently based in London, UK 🇬🇧

Work

  • I currently work at a startup called Signal AI. I'm working on building NLP systems to extract information out of data for companies to gain insights.
  • I previously worked at JP Morgan. I did some stuff in E-Trading and Market Data.

Interests

  • My main tech interests are in NLP and Information Retrieval.
  • I also enjoy working on Robotics and Computer Vision, especially autonomous (flying) vehicles.
  • I'm very interested in the SEA Tech and Startup Scene, and I try to keep up to date with all the new developments back home. I'm always happy to jump on a Zoom Call or go for a Coffee Chat, so feel free to reach out!

Education

  • I graduated from Imperial College London in 2019 with a MEng. Electronic & Information Engineering.
  • This course was a combination of EE/CS, and I was able to take modules in both the Department of Electrical and Electronic Engineering and the Department of Computing.
  • My Masters project involved Robotics and Augmented Reality. I developed an eye-tracking based navigation system for a powered wheel chair using the Microsoft Hololens, with built in object (person) detection using YOLO for a collision avoidance system. Thesis

Aufar Laksana's Projects

darknet-crowdhuman icon darknet-crowdhuman

YOLO Detector for the CrowdHuman Dataset. Detects people and heads. Contains training instructions on how to convert between CrowdHuman and Darknet annotations

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

eks-app-mesh-polyglot-demo icon eks-app-mesh-polyglot-demo

End to end deployment and observability of polyglot microservices in Amazon EKS using AWS App Mesh, AWS Fargate, Amazon Cloudwatch Container Insights, and AWS X-Ray

fpgagame icon fpgagame

Object Recognition on a DE0 FPGA for use in a simple game, built using HLS and Verilog as part of a First Year Project

fyp_hololens_unity icon fyp_hololens_unity

FYP Unity Project: Builds the Unity app that runs on the Hololens as part of the Final Year Project

fyp_yact icon fyp_yact

Yet Another Crowd Tracker: Tracks individuals in crowds and predicts their trajectories

fyp_yolo icon fyp_yolo

Darknet YOLO for ROS Kinetic. Python wrappers written around Darknet library for use in ROS.

networks-udp-rmi icon networks-udp-rmi

Assessed Coursework for the Networks & Distributed Systems Module taken in Spring 2017

sort icon sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

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