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Akash Suresh

Software Engineer

London, United Kingdom11 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led a team to optimize ML models at Meta.
  • Increased revenue by 10% for Instagram Shops.
  • Developed a financial planning tool for Myntra.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in E-commerce and Cloud Computing.

Contact

Skills

Core Skills

Machine LearningDeep LearningCloud ComputingAutomationData PipelinePerformance OptimizationFull Stack DevelopmentGame Development

Other Skills

AndroidCC++CSSHTMLJavaJavaScriptLeadershipMySQLPhotographyPythonReactJsRedisUnity3D

About

I’m a Machine Learning Engineer at Meta, building models powering product recommendations across Facebook and Instagram Shops. Before joining Meta, I worked on building scalable distributed systems for four years with Google and Myntra.

Experience

Meta

Software Engineer, Machine Learning

May 2021Present · 4 yrs 10 mos · London, England, United Kingdom · On-site

  • Specialized in developing large-scale recommender systems and optimizing commerce surfaces for Facebook and Instagram
  • Trained and deployed ranking models that resulted in a significant increase in revenue (+10%) for IG Shops
  • Led a team of MLEs and DEs to build training data pipelines, implement features and evaluate ML models, and collaborated closely with cross-functional teams to achieve our goals
Deep LearningMachine LearningPython

Google

Software Engineer

Jul 2020Apr 2021 · 9 mos · Bengaluru, Karnataka, India

  • Worked as a member of the Google Cloud VMware Engine team
  • Focused on automating the processes for deploying and maintaining VMware instances across multiple data-centers
  • Developed and implemented automated flows to streamline these processes and improve efficiency
JavaAutomationCloud Computing

Myntra

3 roles

Senior Software Engineer

Promoted

Oct 2019Jul 2020 · 9 mos

  • Key developer for Myntra Financial Planner, a financial planning tool tailored to the fashion e-commerce world. Was involved in building the tool and development of new features. Here are some of my major contributions -
  • Fixed data pipeline issues, and made it robust.
  • Optimized reads in scenario approval flow, to make it 12x faster.
  • Integrated Redis to cache aggregations, which improved performance of historic flows by 40%.
  • Redesigned the export feature, to minimize heap memory use by 80%.
Data PipelinePerformance OptimizationRedis

Software Engineer

Promoted

Jul 2017Oct 2019 · 2 yrs 3 mos

  • Full Stack Developer as part of the Supply Chain Inbound team, which focussed on building a platform from scratch, scaling to procure 500,000+ styles.
  • Individually developed the Central Delisting Engine end to end. This system helped curate styles on Myntra, garnering higher traffic positivity coming mainly from much lower brokenness —200k additional sessions.
  • Built the Order Indent creation flow for In Season Buying which reduced the TAT for Purchase Order generation from 7 days to 2 days.
  • Developed Replenishment Planner, which automatically creates Purchase Orders for the Top Selling Styles, which reduced TAT for Purchase Order generation to under 10 minutes.
  • Did a POC to automate grading using Visenze API, to grade new styles based on image similarity.
  • Contributed to ui-kit, an internal ReactJs framework, which facilitated faster design development of new products.
Full Stack DevelopmentReactJs

Software Engineering Intern

May 2016Jul 2016 · 2 mos · Bengaluru Area, India

  • Worked on returns minimization using Machine Learning. Developed a user size recommendation engine based on their orders/returns history using KMeans and K-Prototype clustering techniques.
Game DevelopmentJava

Indian institute of science

Research Intern

May 2015Jul 2015 · 2 mos · Bangalore

  • Guide: Prof Y Narahari, Chairman, Dept of Computer Science & Automation
  • Worked on simulating Vickrey auctions on social networks using Python. The project focused on mechanism design on underlying social network structures with the aim of creating auctions which satisfy desired game theoretic requirements.
Machine Learning

National institute of technology karnataka, surathkal

Head Placement Coordinator & Internship Coordinator

Apr 2015Apr 2017 · 2 yrs · Surathkal

  • As Head Placement Coordinator, succesfully led a team of 125 placement coordinators across various disciplines in B.Tech, M.Tech, MSc and MBA to ensure the placement process goes on smoothly at college.
  • As part of the placement cell, the duties involved being an intermediate between the students and the company executives. Helping companies conduct technical tests and interviews and making sure the whole process goes smoothly.
  • As Internship Coordinator, successfully coordinated the internship procedure and ensured timely information flow for a class of 108 students of the Computer Science and Engineering Batch of 2017.

Ieee-nitk student chapter

Engineer Joint Convener & Executive Member

Aug 2014Apr 2017 · 2 yrs 8 mos · NITK, Surathkal

  • Conducted a workshop on Game Development using UNITY 3D.
  • Represented the IEEE Bangalore section at the IEEE R10 Student/Young Professionals/WIE Congress 2015 Colombo, Sri Lanka, 09 - 12 July 2015.
  • Built a peer to peer file sharing application using Java.
  • Developing a predictive system which predicts the probability of a football transfer happening using neural networks and decision trees.
  • Developed a Mobile Application to track and help improve kids affected by Dyscalculia.

Education

National Institute of Technology Karnataka

Bachelor of Technology (BTech) — Computer Science & Engineering

Jan 2013Jan 2017

VVS Sardar Patel PU College

Pre-University — PCME

Jan 2011Jan 2013

Vidyaniketan Public School

Matriculation — CBSE

Jan 2005Jan 2011

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