Shubh Raheja

Product Engineer

New Delhi, Delhi, India6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in low latency trading systems and quantitative strategies.
Proven track record in scalable microservices architecture.
Strong background in machine learning and AI applications.

Stackforce AI infers this person is a Fintech and SaaS expert with strong capabilities in AI and machine learning.

Contact

Skills

Core Skills

Product EngineeringMicroservices ArchitectureWeb DevelopmentUser Experience DesignMachine LearningRobotics

Other Skills

AIAlgorithmic TradingAlgorithmsAmazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)Artificial Neural NetworksAttention to DetailAutoCADBusiness communicationC++C++20CNNCascading Style Sheets (CSS)Communication

About

HFT & Quantitative Systems Engineer diving in low latency trading systems (<30 µs p50 ORT), market microstructure analytics, and cost-aware execution models. Building scalable, data-intensive architectures in Python/C++20, working out quantitative strategies from research, and bridging technical execution with business outcomes. Also experinced in full-stack SDE development, delivering web and backend systems with modern frameworks and cloud-native deployments.

Experience

6 mos

Total Experience

6 mos

Average Tenure

Current Experience

Meru capitals

Quantitative Developer

Aug 2025 – Present · 10 mos · Gurugram, Haryana, India · On-site

Adsreverb digital private limited

Product Engineer

Apr 2025 – Jul 2025 · 3 mos · Gurugram, Haryana, India · Hybrid

Architected a scalable microservices platform for TrendEko.
Achieved a 17% reduction in coordination overhead.
Designed mobile-first responsive website for TheBandStitch
Collaborated in a dynamic startup environment at Adsreverb Digital Private Limited, focusing on innovative digital solutions.

microservicesresponsive designcollaborationProduct EngineeringMicroservices Architecture

Unicapp - your delivery superhero

Full-stack Developer

Jul 2024 – Jan 2025 · 6 mos · India · Hybrid

Developed the Unicapp application that streamlines order management and delivery tracking, prioritizing a seamless user experience for both Individuals and Businesses.

Hashedtokens

Deep Learning Researcher

May 2023 – Nov 2023 · 6 mos · India · Remote

Developing tools for the open source community together with deep learning researchers and professionals under the guidance of Dr. Nagendrababu Vanamala

Spartificial

Machine Learning Intern

Jan 2022 – May 2022 · 4 mos · Remote

During my tenure as a Machine Learning Intern at Spartificial, I had the opportunity to contribute to a groundbreaking project focused on lunar rover obstacle detection. Working at the intersection of robotics and artificial intelligence, I undertook the task of developing a robust machine learning model to enhance the safety and efficiency of lunar exploration.

machine learningroboticsAIMachine LearningRobotics