Tauqueer Ahmad

Software Engineer

India8 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI and Cloud technologies.
Proven track record in optimizing machine learning models.
Strong background in software engineering and project management.

Stackforce AI infers this person is a SaaS-focused AI and Cloud Engineer with strong software development skills.

Contact

Skills

Core Skills

Machine LearningDeep LearningAiCloud DocumentsCloudCloud ServiceApisMicro-services

Other Skills

AWSAlgorithmsAndroid DevelopmentC++Cascading Style Sheets (CSS)Data StructuresFace DetectionHTMLImage ProcessingJavaLeadershipLinuxMatlabMySQLObjective C

About

Science and technology geek. My expertise and love for mathematics and science has taken me this far. I am passionate to learn new things and dream to invent world changing technologies.

Experience

8 yrs 8 mos

Total Experience

4 yrs 4 mos

Average Tenure

5 yrs 1 mo

Current Experience

Microsoft

Software Engineer

May 2021 – Present · 5 yrs 1 mo · Noida, Uttar Pradesh, India · Hybrid

Designed and implemented agentic AI systems leveraging RAG, MCP, and A2A protocols, enabling more efficient and scalable AI workflows.
Optimized and fine-tuned SLMs to lower LLM operational costs (COGS) at scale.
Drove reliability improvements in PowerPoint Summarization, increasing accuracy from 88% → 99% for 100M+ MAU.

PythonMachine LearningDeep LearningProject Management

Adobe

4 roles

Computer Scientist

Feb 2021 – May 2021 · 3 mos

Leading AI and Cloud Documents feature in Photoshop Express iOS

AICloud DocumentsPhotoshop Express

Member Of Technical Staff 2

Jan 2019 – Feb 2021 · 2 yrs 1 mo

Team - AI @ Photoshop Express iOS
(Objective C & C++): Working on integrating the application with Cloud
Team - AI @ Lightroom Cloud
(Cloud/Backend Engineer)
Developed and executed strategy for multi-region data handling and multi-cloud expansion.
Designed data schemas focused on both user and machine-generated content.
Optimized data processing within a containerized microservice cloud architecture.
Collaborated on content intelligence and machine learning algorithms/libraries and their corresponding data storage needs.
Developed cloud service APIs

Objective CC++CloudMachine Learning

Member Of Technical Staff

Jun 2017 – Dec 2018 · 1 yr 6 mos

Team: Lightroom Cloud (Ruby on Padrino, Cloud Service Hosted on AWS)
Projects:
People Categorization: We created APIs and micro-services for facilitating face detection and face recognition,where we handled indexing of accounts with hundred thousands of images, real time parallel processing of multipleaccounts
Bestphotos: APIs and micro-services to facilitate real time image similarity computation and clustering to getbest photos out of a given collection of photos.
Cloud Technologies: Nginx, Mongo, Docker, Amazon Web Service

RubyCloud ServiceAWSAPIsMicro-services

Internship

May 2016 – Jul 2016 · 2 mos · New Delhi Area, India

Machine Learning Based Project. Automatic creation of bookmarks in a PDF document.Table of content may or may not be inherent in a PDF document. So, first step was to detect the presence of pages having table of content for which I used Random Forest Classifier. If they exist, then we parse those pages to extract all the contents, otherwise we scan the entire document to extract headings.Then establish hierarchy in headings and create links in the PDF document.

Machine LearningPDF ProcessingRandom Forest Classifier