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Quant ML Research Engineer focused on time-series forecasting, alpha research, and production-grade research pipelines
I am an R&D Engineer dedicated to optimizing systems and embracing new technologies, my expertise in software engineering and machine learning drives me to refine processes and explore the innovative potential of data science. With a particular focus on quantitative finance, I am drawn to roles that challenge my analytical and strategic capabilities, especially in time series related domains like quantitative research, high-frequency trading (HFT) and algorithmic strategies. Throughout my professional journey, I have applied rigorous analysis and machine learning techniques to enhance system efficiencies and implement advanced data analytics solutions. My work includes significant improvements in performance metrics and operational efficiency through data-driven enhancements and the innovative use of technology. I am committed to continually developing my skills in data science and financial technologies. Currently, I am focused on deepening my understanding of how predictive analytics can be integrated into robust trading strategies. My ambition is to apply my expanding knowledge to more advanced quantitative research as I advance in my career. This ongoing commitment aims to contribute to projects that not only challenge my capabilities but also lead to meaningful advancements in technology and business processes. Let's connect and explore how we can drive technological innovation and financial excellence together.
Shri G S Institute of Technology & Science
Bachelor of Technology - BTech, Computer Engineering
October 1, 2020 – May 1, 2024
Deqode Labs
Research And Development Engineer
January 1, 2024 – November 1, 2025
India · On-site
Remotasks
Software Engineer - AI trainer
October 1, 2023 – December 1, 2023
Remote
WorldQuant
Quantitative Research Consultant
November 1, 2022 – October 1, 2023
Remote
Orange Data Tech
Data Science Intern
July 1, 2022 – November 1, 2022
Indore, Madhya Pradesh, India · On-site
Remarkskill Education
Artificial Intelligence Intern
August 1, 2021 – September 1, 2021
Microsoft AI Classroom Series
Microsoft
June 25, 2026 – Present
Build a Face Recognition Application using Python
HCL GUVI
June 25, 2026 – Present
Python Programming
Inspire Club Indore
June 25, 2026 – Present
NDG Linux Unhatched English 0621b
Cisco Networking Academy
June 25, 2026 – Present
Deep Neural Networks with PyTorch
Coursera
June 25, 2026 – Present
Introduction to Packet Tracer
Cisco Networking Academy
June 25, 2026 – Present
Introduction to IoT
Cisco Networking Academy
June 25, 2026 – Present
Getting Started with AI on Jetson Nano
NVIDIA
June 25, 2026 – Present
Getting Started with DeepStream for Video Analytics on Jetson Nano
NVIDIA
June 25, 2026 – Present
MTA: Introduction to Programming Using Python - Certified 2021
Microsoft
June 25, 2026 – Present
Machine Learning with Python
freeCodeCamp
June 25, 2026 – Present
Data Analysis with Python
freeCodeCamp
June 25, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 25, 2026 – Present
Introduction to Statistics
Coursera
June 25, 2026 – Present
Data Science Math Skills
Coursera
June 25, 2026 – Present
Introduction to Machine Learning in Production
DeepLearning.AI
June 25, 2026 – Present
Natural Language Processing
NPTEL
June 25, 2026 – Present
JPMorgan Chase & Co. Agile Virtual Experience Program
Forage
June 25, 2026 – Present
J.P. Morgan Software Engineering
Forage
June 25, 2026 – Present
Machine Learning For Trading
Coursera
June 25, 2026 – Present
PRDV151: Bitcoin for Everybody
Saylor University
June 25, 2026 – Present
CS120: Bitcoin for Developers I
Saylor University
June 25, 2026 – Present
Communicating with Executives
June 25, 2026 – Present
Top 10 Skills for Quantitative Analysts
June 25, 2026 – Present
Data Visualization: Storytelling
June 25, 2026 – Present
Level Up: Advanced Python
June 25, 2026 – Present
Regression Analysis Fundamentals
June 25, 2026 – Present
Predictive Analytics Essential Training: Data Mining
June 25, 2026 – Present
Predictive Analytics Essential Training: Estimating and Ensuring ROI
June 25, 2026 – Present
JPMorgan Chase & Co.'s Quantitative Research
Forage
June 25, 2026 – Present
British Airways's Data Science
Forage
June 25, 2026 – Present
Cloud Computing
NPTEL
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning AI training, quantitative research, data science, and R&D engineering, indicating adaptability and a broad interest in technical domains. The experience in high-frequency trading and ML infrastructure aligns well with a demanding, performance-oriented culture. However, the relatively short stints in some roles (e.g., Remotasks, Remarkskill Education) might warrant further inquiry into long-term commitment and stability. The numerous certifications demonstrate a strong drive for continuous learning, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving, ensuring code robustness, and project delivery, suggesting a focus on quality and timely execution. The quantitative research roles imply strong analytical and critical thinking skills. However, without psychometric test results or interview data, a comprehensive assessment of soft skills like teamwork, stress handling, and communication clarity in a collaborative environment is not possible.