Faraz Nomani

Software Engineer

London, England, United Kingdom9 yrs 6 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in developing AI-based solutions for AR/VR.
  • Led migration projects to scalable cloud systems.
  • Awarded for innovative solutions in competitive programming.
Stackforce AI infers this person is a skilled Software Engineer with expertise in AI, AR/VR, and cloud solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Virtual Reality (vr)

Other Skills

ANTLRASP.NETAlgorithmsAmazon Web Services (AWS)Android DevelopmentAugmented Reality (AR)AutomationCC#Core JavaData ExtractionData StructuresHTMLJavaJavaScript

About

Staff Software Engineer at Meta working at Reality Labs - supporting development of AI wearables.

Experience

Meta

3 roles

Staff Software Development Engineer

Promoted

Jul 2024Present · 1 yr 8 mos · On-site

  • Working at Reality Labs at Meta.
  • Building infrastructure for AR/VR devices including Device Farms, Spatial UX Testing Frameworks, and AI based product defect detection platforms to enable quick and stable product development and releases.
Artificial Intelligence (AI)Virtual Reality (VR)Augmented Reality (AR)Android DevelopmentTeam Leadership

Senior Software Engineer

Promoted

Jan 2023Jun 2024 · 1 yr 5 mos · On-site

Software Engineer

Feb 2022Dec 2022 · 10 mos · On-site

Walmart global tech

2 roles

SDE 4

Sep 2021Feb 2022 · 5 mos

SDE 3

Jul 2020Sep 2021 · 1 yr 2 mos

  • Worked as Software Development Engineer in Merchandising domain for Walmart International.
  • Worked on design, development of next-generation multi-tenant pricing engine for global walmart omni-channel marketplaces. Migrated existing marketplaces and onboarded new marketplaces onto the pricing platform. Lead phased deprecation of legacy proprietary e-commerce pricing platform.
  • Lead the project to migrate existing services to azure kubernestes backed scalable system.

Amazon

Software Development Engineer

Apr 2019Jul 2020 · 1 yr 3 mos · Hyderabad, Telangana, India

  • Software development Engineer at Amazon.
  • Working as part of geospatial technology team which is part of Last Mile Tech at Amazon.
  • 1. Worked as part of Address Experience team. Developed, deployed and maintained various products which dealt with Critical customer data such as Customer Delivery Profile, In-line address suggestion forms among others. Worked on rigorous performance testing and penetration testing for security compliance of our applications. Was awarded employee of the month for successful certification of the applications. Won most popular idea and implementation award in Last Mile Hackathon.
  • 2. Worked as part of Global Address Management team. Developed address hierarchy extraction and resolution solution. Designed CRUD APIs for location ingestion into amazon global location management system. Designed and developed location ingestion flow, which took in stream of location updates from various sources, validated and performed the operations on the location data store.
  • 3. Worked as on rotation oncall for multiple tier1 and tier2 services critical to amazon.

Thoughtworks

Software Development Engineer

Jul 2018Apr 2019 · 9 mos · Chennai Area, India

  • Worked as an end to end full stack application developer.
  • As part of the team I was involved in designing, development and deployment of micro service architecture based data retail pricing platform.
  • The front facing application was built using Python Django with REST APIs built using Python Flask.
  • The product was developed for BCG (Boston Consultancy Group).

Tata consultancy services

2 roles

Research Development Software Engineer

Jul 2016Jul 2018 · 2 yrs · Chennai Area, India

  • Worked at TCS Innovation Lab at IIT Madras Research Park.
  • I worked on
  • 1. Data extraction automation using various image processing, Natural Language processing techniques.
  • 2. Plagiarism Detection in large dataset of competitive programming code submissions.
  • This was achieved using AST analysis. Antlr Context Free Grammars for different languages were modified to create parser generators which normalised the submitted code. Once the code was normalised various weighted NLP techniques including w-shingling were used to find clusters of matching code submissions. This program was used to detect and disqualify code submissions with high confidence of plagiarism. This was used to detect plagiarism in Dataset set of 300k code submissions in 9 supported languages. This product was a finalist in Tata Innovista Awards.
  • 3. Created DSL (Domain Specific Language) for Language agnostic logic recruitment examination. The language was build using custom grammar in Antlr and emulated mathematical set theory annotations. The Exam was taken by around 100k candidates.
  • 4. Worked as a full stack developer on an Insurance Compliance product. The product employed data extraction, information classification and summarisation as some of the features using NLP techniques. Various different data channels were supported and data was labeled into a data lake.

SDE Intern (Centre of Excellence)

Jun 2015Aug 2015 · 2 mos · Lucknow Area, India

  • Worked at Center of Excellence of Data services for one of the verticals of TCS.
  • White Paper on distributed Docker container management and Inter-connections.
  • White Paper on using Open Stack, and use case identification.

Education

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Engineering - BE — Computer Science

Modern School Lucknow

High school and 12th Standard

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