Rahul Saxena

Software Engineer

Kanpur Nagar, Uttar Pradesh, India3 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed innovative GenAi solutions at Google.
Built a speaker diarization pipeline from scratch.
Created a text-to-speech architecture with emotional recognition.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in back-end development and AI solutions.

Contact

Skills

Core Skills

Back-end Web DevelopmentSoftware Development

Other Skills

.NET FrameworkAlgorithmsAndroid DevelopmentArtificial Intelligence (AI)Audio processingC (Programming Language)C#C++Data ScienceData StructuresData Structures and AlgorithmsDeep LearningDeep learningDjangoFlask

About

As a software engineer at Google, I leverage my knowledge to develop innovative solutions that enhance user experience and drive business growth. With around 4 years of experience in the tech industry, I have worked on various projects driving millions of dollars of revenue and saving tonnes of business hours through GenAi solutions. My primary technologies include Java, Angular and Sql. I am passionate about learning new skills and staying updated with the latest trends in the field. I am always eager to collaborate with diverse teams and contribute to the success of the organization.

Experience

Google

Software Engineer

Nov 2023 – Jul 2025 · 1 yr 8 mos · Bengaluru

Microsoft

Software Engineer

Dec 2022 – Oct 2023 · 10 mos · India

Back-End Web DevelopmentProgrammingProblem SolvingC#.NET FrameworkSoftware Development

Cohesity

Member Of Technical Staff

Jul 2021 – Nov 2022 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

Worked on Cohesity's flagship product Helios, writing APIs to add features and bug fixing. Handling databases , user authentication and access management.
Primary technologies : Golang, Postgres, MongoDB

Back-End Web DevelopmentProgrammingProblem SolvingKubernetesSoftware DevelopmentPostgreSQL+1

Saarthi.ai

Research Intern

Apr 2020 – Jun 2020 · 2 mos · Bengaluru, Karnataka, India

. Built an end-to-end speaker diarization pipeline from scratch, involving taking an audio file and creating a speaker wise transcript of the audio.
· Used novel speaker encoder architecture and spectral clustering algorithm for diarization followed by
Google ASR api for transcription.
· Created proprietary dataset for training of models using existing pipeline.
· Created framework for evaluation of model using the Diarization Error Rate (DER) metric.

Programming

Adobe

Research Intern

May 2019 – Jul 2019 · 2 mos · Bangalore, India

· Chose a specific research problem after extensive brain-storming,guided by Adobe India’s senior most research scientists.
· The research problem was to develop an end-to-end text-to-speech architecture using deep learning, capable of producing human-like voice and change its voice attributes by recognising the emotional context of text.
· Worked on sentiment classification, Sequence-to-sequence architecture, speech processing, Vocoder, transformer architecture, Multi-head attention.
· Succeeded in introducing speaker-specific traits and emotional recognition in the output voice, presented our work to Vice President Adobe India.
. Project filed for patent by Adobe India.

Programming

New york office, iit kanpur under prof. manindra agarwal

Android Developer

May 2018 – Jul 2018 · 2 mos · Kanpur Area, India

· Worked on various UI aspects of the app, following MVC Architecture, enabled Firebase Services for push notifications.
· Implemented login facility, User details, and Day-Night switching feature in the app from scratch.
· Wrote unit tests for the app, using Espresso for UI tests, and Mockito for data layer tests.