Ayush Kumar

CEO

Lucknow, Uttar Pradesh, India5 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Led a cross-functional team for AI marketplace platform.
Developed enterprise-grade AI applications enhancing productivity.
Passionate about mentoring and guiding youth in careers.

Stackforce AI infers this person is a SaaS-focused Machine Learning Engineer with expertise in AI application development.

Contact

Skills

Core Skills

Machine LearningPython (programming Language)Data ScienceWeb Development

Other Skills

LangChainLarge Language Model Operations (LLMOps)Data StructuresAlgorithmsPythonDistributed SystemsBig DataREST APICI/CD (Jenkins)AWSAmazon QuickSightAmazon S3ReactReduxConvolutional Neural Networks (CNN)

About

Hey There! Thanks for visiting my profile, I am Ayush and I hail from Lucknow - "This City of Nawabs". I graduated from RVCE Bangalore in the year 2020. I am passionate about Machine Learning and Data science and have experience in building end to end scalable solutions. My expertise fall in Python development, Data Structures and Algorithms, Machine learning. I am also very keen to know potential candidates and recommend them to my Organization. "Giving back to the society" and helping the youth to settle on a great Career is what always interests me the most. "Create New and Different" is what I always aim for. Drop me a dm if you want any help/guidance in any verticals you think I am good at. Thanks for reading so far, Have a good day!

Experience

5 yrs 8 mos

Total Experience

5 yrs 8 mos

Average Tenure

5 yrs 8 mos

Current Experience

Qualcomm

4 roles

Senior Lead Engineer

Promoted

Nov 2025 – Present · 7 mos · Hyderabad, Telangana, India

LangChainLarge Language Model Operations (LLMOps)Machine LearningPython (Programming Language)Data StructuresAlgorithms

Senior Software Engineer

Dec 2023 – Nov 2025 · 1 yr 11 mos · Hyderabad, Telangana, India

GenAI Platform Lead (India) (2025 – Present)
Leading a 8-member cross-functional team in India to design and scale Qualcomm’s AI marketplace platform that enables rapid creation, deployment, and management of AI-native and LLM-based applications.
Driving the platform vision to accelerate the Software Development Lifecycle (SDLC) through prompt engineering, contextual intelligence, and agentic automation.
End-to-end ownership of portal architecture and development, ensuring enterprise-grade reliability, scalability, and performance to support a community of 30,000+ engineers across Qualcomm.
Spearheading development of AI applications that leverage Retrieval-Augmented Generation (RAG), Supervised Fine-Tuning (SFT), and post-training pipelines to enhance productivity across engineering workflows.
Collaborating with global teams to onboard and integrate new AI solutions into the marketplace, establishing standards, governance models, and best practices for app development and deployment.
Enabling organization-wide productivity gains by transforming repetitive SDLC tasks into intelligent, automated workflows powered by in-house LLMs and fine-tuned contextual models.
Overseeing architecture reviews, model evaluations, and deployment pipelines, ensuring responsible AI integration across diverse business use cases.
Actively promoting a culture of AI-first engineering, mentoring developers in LLMOps, prompt design, and AI application architecture.
Software Engineer (2023-2024)
Engaged in a Big Data Collection project extensively utilizing a tech stack comprising Python, Distributed Systems, Big Data, Data Science, REST API, CI/CD (Jenkins), AWS, and Machine Learning. Member of 5G SW and Campus hiring team of Qualcomm with a good experience of taking 300+ technical Interviews.

PythonDistributed SystemsBig DataData ScienceREST APICI/CD (Jenkins)+2

Software Engineer

Promoted

Dec 2021 – Nov 2023 · 1 yr 11 mos · Hyderabad, Telangana, India

Enhanced efficiency, scalability of Qualcomm's Data Mining & MLops Platform. Grew user community to 4000+ for commercial use with diverse optimization strategies
Participated in many brainstorming session involving several Machine Learning use cases in Modem SW/5G. Contributed in bunch of use cases by performing EDA and initial data modelling on AWS.

Amazon QuickSightAmazon S3

Associate Software Engineer

Aug 2020 – Nov 2021 · 1 yr 3 mos · Hyderabad, Telangana, India

Played a pivotal role as a founding member, leading a hybrid on- premise and cloud scalable data warehouse initiative.
Spearheaded full-cycle project development, encompassing data extraction, transformation, cataloging, visualization, machine learning, adhering rigorously to software development specifications and OOPs principles

Samsung r&d institute india - bangalore private limited

2 roles

Research Intern

Jan 2020 – Jun 2020 · 5 mos · Bangalore

Worked in IoT R&D Products and Analytics Group - Involved in day to day development and research activity in the field of Machine Learning and Big Data Analytics.
Worked on the product BIOT, Samsung - Developed UI login page single handedly using the framework React- Redux.
Accomplished Publishing Research Paper - Thermal Comfort Predictive Model - build decision support sytem to control HVAC and Smart Blinds using thermal comfort index.

Summer Intern

May 2019 – Jul 2019 · 2 mos · Bangalore

Worked in Service R&D Group - Involved in the development of My Galaxy app using Android Studio - React Native.
Cleared Samsung's Competency Advanced Test.