Ashish Gupta — CTO

I build AI-native products and large-scale distributed systems. As a technology leader with over a decade of experience, I operate at the intersection of AI, data infrastructure, and backend systems — designing architectures that are both massively scalable and inherently intelligent. I’ve led the development of high-throughput, low-latency systems across e-commerce and telecom, handling real-time workloads at scale. My expertise lies in distributed systems design — event-driven architectures, stream processing, and performance-critical backend systems built using Java, Kafka, Redis, ScyllaDB, and cloud-native infrastructure. I focus heavily on system efficiency, cost optimization, and reliability under extreme load. Today, my work is centered on advanced AI systems — beyond basic LLM integrations. I design production-grade AI architectures involving multi-stage retrieval pipelines, hybrid search (vector + keyword + metadata filtering), re-ranking, and context optimization. I work on building robust LLM systems that combine structured and unstructured data through knowledge graphs, embeddings, and semantic indexing — enabling deeper reasoning and higher accuracy in real-world applications. My focus includes: LLM system design (latency, caching, prompt orchestration, tool usage) LLMOps infrastructure for real-time + batch inference at scale Vector databases and large-scale embedding pipelines Agentic workflows and multi-step reasoning systems Tight integration of AI layers with transactional and analytical data systems (MongoDB, PostgreSQL, Elasticsearch) I also bring strong experience across cloud-native systems (AWS, GCP), containerized environments, and CI/CD — ensuring production readiness from day one. Beyond technology, I work closely with product and business teams to translate complex systems into intuitive, high-impact user experiences. I believe the next generation of products will be deeply AI-native — where intelligence is embedded into every layer of the stack, not added as an afterthought. Currently building AI-first systems as CTO at a stealth startup.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in E-commerce and AI-driven platforms.

Location: Gurgaon, Haryana, India

Experience: 11 yrs 1 mo

Skills

Distributed Systems Design
E-commerce Platform Development
Sales And Distribution Applications
User Experience Enhancement
Big Data Engineering
Data Infrastructure Development

Career Highlights

Expert in building AI-native products at scale.
Led development of high-throughput, low-latency systems.
Strong experience in distributed systems and cloud-native infrastructure.

Work Experience

Stealth Startup

Chief Technology Officer (3 mos)

Meesho

Engineering leader (3 yrs 2 mos)

SDE 4 (1 yr 3 mos)

Airtel Digital

Technical Lead (1 yr 4 mos)

Sabbatical- Higher Education (1 yr)

Senior Software Engineer (1 yr 5 mos)

Software Engineer (1 yr 7 mos)

Software Trainee (5 mos)

WSAudiology

Software Engineer (5 mos)

National University of Singapore

Research Assistant (5 mos)

letzunite.in

Co-Founder (1 yr 8 mos)

Education

Master of Technology - MTech at National University of Singapore

Bachelor of Technology (BTech) at Vellore Institute of Technology

at Amity International School, Gurgaon

Ashish Gupta

CTO

Gurgaon, Haryana, India11 yrs 1 mo experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building AI-native products at scale.
Led development of high-throughput, low-latency systems.
Strong experience in distributed systems and cloud-native infrastructure.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in E-commerce and AI-driven platforms.

Contact

Skills

Core Skills

Distributed Systems DesignE-commerce Platform DevelopmentSales And Distribution ApplicationsUser Experience EnhancementBig Data EngineeringData Infrastructure Development

Other Skills

Low-latency streamingReal-time chatDynamic product panelsSeamless in-stream paymentsSystem scalingInfrastructure optimizationSales applications developmentUser acquisition platformsScalable platform designBig data pipelinesData processing infrastructureApache FlinkKafkaDebeziumRedis

About

Experience

11 yrs 1 mo

Total Experience

3 yrs 7 mos

Average Tenure

3 mos

Current Experience

Stealth startup

Chief Technology Officer

Mar 2026 – Present · 3 mos · United States · Remote

Meesho

2 roles

Engineering leader

Jan 2023 – Mar 2026 · 3 yrs 2 mos

As a member on the engineering team at Meesho, the leading e-commerce platform for Tier 2/3 India, I am honored to be a part of a company that is dedicated to democratizing internet commerce for everyone, including millions of small businesses and the next 500 million Indians who have recently come online.
I have the privilege of leading the User Growth Organization, a talented team of 15 developers who are focused on driving user acquisition, activation, engagement, and loyalty through a mix of continuous iteration and bold bets. By leveraging our collective expertise and innovative thinking, we are working towards achieving our ambitious growth targets and revolutionizing the e-commerce landscape in India.

SDE 4

Oct 2021 – Jan 2023 · 1 yr 3 mos

I led the engineering of a next-generation Live Commerce platform, enabling customers to interact with hosts, browse products, and purchase directly from real-time video. I architected low-latency streaming, real-time chat, dynamic product panels, and seamless in-stream payments.
I scaled the system from 0 to 50,000+ orders per day, supported 100+ concurrent live videos, and built infrastructure capable of serving 1M+ DAU with high reliability. This included optimizing ingestion pipelines, real-time inventory/pricing sync, and improving platform resilience and observability.
This work combined deep systems engineering with product-focused execution to deliver a truly new-age commerce experience at scale.

Low-latency streamingReal-time chatDynamic product panelsSeamless in-stream paymentsSystem scalingInfrastructure optimization+2

Airtel digital

5 roles

Technical Lead

Jun 2020 – Oct 2021 · 1 yr 4 mos

During my time at Airtel Digital, one of the leading telecom operators in the world, I had the privilege of working on a variety of sales and distribution applications. My work included developing, designing, and implementing various features to enhance the user experience, increase sales, and streamline distribution processes. In addition to sales and distribution, I also had the opportunity to work on user acquisition platforms both based on aadhaar and non-aadhaar for Prepaid, Postpaid, Broadband and DTH.
One of my proudest accomplishments at Airtel Digital was building multiple highly scalable platforms from scratch. This involved working with a team of developers to design and develop platforms that could handle a high volume of users and transactions while ensuring reliability and security. I was responsible for leading the development process, ensuring that we delivered a product that met the needs of our users and exceeded their expectations.
Working at Airtel Digital was an incredible experience that allowed me to develop my skills as a developer and a leader.

Sales applications developmentUser acquisition platformsScalable platform designSales and distribution applicationsUser experience enhancement

Sabbatical- Higher Education

Jun 2019 – Jun 2020 · 1 yr

On a sabbatical to pursue a Masters degree at the National University of Singapore (NUS). This opportunity has allowed me to deepen my knowledge and skills in my field and gain exposure to new technologies and ideas.
In addition to coursework, I am also involved in various research projects, working closely with faculty and other researchers to explore new areas of study and develop innovative solutions to real-world problems.

Senior Software Engineer

Promoted

Jan 2018 – Jun 2019 · 1 yr 5 mos

I had the opportunity to work on building big data pipelines. This involved developing and implementing a robust and scalable infrastructure for collecting, processing, and analyzing large amounts of data. I used technologies such as Apache Flink, Kafka, Debezium, Redis, ES, RocksDB for the implementation.

Big data pipelinesData processing infrastructureApache FlinkKafkaDebeziumRedis+4

Software Engineer

Jun 2016 – Jan 2018 · 1 yr 7 mos

Software Trainee

Jan 2016 – Jun 2016 · 5 mos

I had the opportunity to build an end-to-end project management tool, similar to Jira, entirely from scratch. This involved designing and developing a platform that could effectively manage and track projects and tasks, as well as provide a range of features to enhance team collaboration and productivity.