Soniya Nayak

Backend Engineer

London, England, United Kingdom4 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Strong backend development skills with industry experience.
Proficient in machine learning and data analysis.
Hands-on experience with major tech companies.

Stackforce AI infers this person is a Backend Engineer with strong capabilities in SaaS and machine learning applications.

Contact

soniyanayak51@gmail.com +447708288062 LinkedIn

Skills

Core Skills

Software DevelopmentMachine Learning

Other Skills

.NET FrameworkAnomaly detectionArtificial Intelligence (AI)Azure NLPC#C#.NETC++Computer ScienceGitIntent extractionLinuxMaterial-UIMicrosoft AzureMicrosoft TeamsMySQL

About

I am a 2021 Computer Science undergrad at IIT (ISM) Dhanbad. My major technical interests lie in backend development (C++, C#.NET, REST Apis, SQL, Python, Azure, App Engine (GCP)), Web development and Machine Learning. I have a good industry experience in backend engineering from my past Software Engineering internships at Microsoft and from open source contributions. I also take keen interest in data structures, algorithms, problem solving and competitive / sport programming.

Experience

Spotify

Backend Engineer II

Jan 2023 – Present · 3 yrs 2 mos · London, England, United Kingdom · Hybrid

Twitter

2 roles

Software Engineer II

Promoted

Oct 2022 – Feb 2023 · 4 mos · Bangalore Urban, Karnataka, India

Software Engineer

Jun 2021 – Oct 2022 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

Microsoft

2 roles

Software Engineering Intern

May 2020 – Jul 2020 · 2 mos · Hyderabad, Telangana

Anomaly detection and flagging system for Microsoft Teams message search.
Built an anomaly detection system that is based on real-time aggregation, computation and comparison of key metrics of real user queries with multiple simultaneous echo queries.
Created an interactive dashboard using Power Bi for the users to analyze the behaviour across various workflows.

Anomaly detectionPower BIReal-time aggregationMicrosoft TeamsSoftware DevelopmentMachine Learning

Software Engineering Intern

May 2019 – Jul 2019 · 2 mos · Hyderabad Area, India

Built the server end of an application which extracts intent from a user’s task in Microsoft To-Do to display relevant in-place quick actions in real time.
Implemented 2 scenarios for the feature(file sharing and learning) using Azure NLP cognitive service LUIS and REST apis.
Reduced the latency by 75% to render results from server to client and build a prototype for extension to emails.

Azure NLPREST APIsIntent extractionSoftware DevelopmentMachine Learning