Raunaq Vohra

Software Engineer

London, United Kingdom10 yrs 4 mos experience
Most Likely To Switch

Key Highlights

  • Expert in backend engineering with diverse tech stack.
  • Proven track record in building scalable systems.
  • Passionate about writing reusable and extendable code.
Stackforce AI infers this person is a Backend Engineer with expertise in SaaS and Media industries.

Contact

Skills

Core Skills

Backend EngineeringBig Data EtlReal-time SystemsData EngineeringMicroservices DevelopmentMachine Learning

Other Skills

C# (.NET)ReactScala (Spark)AWSJavaScalaGCPSparkPythonPython (Flask)Java (Spring Boot)Scala (http4s)TensorFlowStanford CoreNLPNeo4j

About

I’m a software engineer, currently working at QRT (and naturalised as a British citizen). I’ve previously worked at The Trade Desk, Spotify, Skyscanner, and Goldman Sachs. My primary competence is back-end engineering, but I have some exposure to data engineering as well. I’m most comfortable writing Python and Java but try to be language-agnostic and have worked with Scala in a professional capacity. I’m passionate about writing reusable and extendable code and have an interest in distributed systems, correctness, and functional programming. In terms of ideal work culture, I tend to do my best work in tech-first organizations with little to no legacy code, engineers as first class citizens and a culture where people are valued as people rather than resources. In my spare time, I enjoy reading, music, quizzing, and video games.

Experience

Qube research & technologies

Quantitative Technologist

Nov 2024Present · 1 yr 4 mos · London Area, United Kingdom · Hybrid

The trade desk

Software Engineer

Apr 2022Nov 2024 · 2 yrs 7 mos · London, England, United Kingdom

  • Working as a generalist software engineer in the Connected TV space, including customer-facing tooling, low-latency backend engineering, and big data ETL pipelines. Tech stack includes C# (.NET), React, Scala (Spark), AWS.
C# (.NET)ReactScala (Spark)AWSBackend EngineeringBig Data ETL

Spotify

Software Engineer

May 2020Apr 2022 · 1 yr 11 mos · London, England, United Kingdom

  • Built content review product which automates checking content for policy violations.
  • Built real-time reactive CSAM detection and restriction system.
  • Worked on a regulatory platform to detect and handle copyright infringement in podcasts based on audio fingerprinting, including creator communication.
  • Built a personalised full-screen video discovery feature to serve millions of users.
  • Worked on an editorial video transcoding and serving platform.
  • Tech stack included Java, Scala, GCP.
JavaScalaGCPBackend EngineeringReal-time Systems

Skyscanner

Software Engineer

Mar 2019May 2020 · 1 yr 2 mos · London, United Kingdom

  • Worked on ETL using Spark, Python and AWS - contributed to building a data transformation platform.
SparkPythonAWSData Engineering

Goldman sachs

Software Engineer (Associate)

Jun 2018Mar 2019 · 9 mos · Bengaluru, Karnataka, India

Cognitivescale

Software Engineer

Sep 2016May 2018 · 1 yr 8 mos · Hyderabad Area, India

  • Developed high throughput, scalable microservices in Python (Flask), Java (Spring Boot), and Scala (http4s).
  • Worked on building a convolutional network based similarity search service, and also maintained some NLP code.
  • Worked on a product built to handle data at scale, which involves an end-to-end knowledge representation pipeline (from sourcing data to consuming it into a graph database) in a stack which includes Stanford CoreNLP, TensorFlow and Neo4j.
Python (Flask)Java (Spring Boot)Scala (http4s)Microservices Development

Tractable

Software Engineer Intern

Jan 2016Jul 2016 · 6 mos · London, United Kingdom

  • Built a data-streaming architecture for an internal deep learning platform.
  • Also improved deep learning solutions applied to automated visual inspection.
Deep Learning

Technische universität berlin

Deep Learning Research Intern

Jul 2015Dec 2015 · 5 mos · Berlin Area, Germany

  • Developed a fully-convolutional neural network based architecture for real-valued pixel-like regression with very few labelled samples.

Aurangabad electricals ltd

Summer Intern

May 2013Jul 2013 · 2 mos · Aurangabad Area, India

  • Wrote software for breakdown management of shop floor machines

Education

Birla Institute of Technology and Science, Pilani

Master’s Degree — Mathematics

Jan 2011Jan 2016

Birla Institute of Technology and Science, Pilani

Bachelor’s Degree

Jan 2011Jan 2016

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