Saksham Singh

AI Researcher

Pittsburgh, Pennsylvania, United States1 yr 3 mos experience

Key Highlights

Top 10% accepted paper at ECCV 2024
Developed high-performing trading strategies
Improved stock prediction accuracy significantly

Stackforce AI infers this person is a Fintech-focused Machine Learning expert with strong quantitative research skills.

Contact

Skills

Core Skills

Quantitative ResearchMachine Learning

Other Skills

AlgorithmsBashC++Combinatorial OptimizationComputer VisionData StructuresDiscrete MathematicsGitGraph Neural NetworksInput-Output Hidden Markov ModelsJavaMathematical ModelingNumPyPyTorchPython (Programming Language)

About

Interested in application of AI for planning and reasoning in digital/embodied agents. Author of accepted oral paper (top 10% of accepted papers) at ECCV 2024. Currently looking for summer 2026 ML internships in industry.

Experience

Quadeye

Quantitative Researcher

Jun 2024 – May 2025 · 11 mos · Gurugram, Haryana, India · On-site

Led the effort to deploy a new strategy to trade exotic options on a previously unexplored exchange for the firm. Developed a strategy which demonstrated high Sharpe Ratios (10+) on simulated trading over a span of 1.5 years and brought this strategy into production.

Quantitative ResearchMathematical ModelingMachine Learning

Quantbox research

Intern

May 2023 – Jul 2023 · 2 mos · Singapore, Singapore · On-site

Investigated application of Input-Output Hidden Markov Models on high and mid-frequency stock data to predict returns. Showed 10% improvement in correlation over baseline methods.

Input-Output Hidden Markov ModelsStatistical AnalysisMachine Learning

Tata consultancy services research

Research Intern

Jun 2022 – Jul 2022 · 1 mo · Delhi, India

Worked on solving TSP-like combinatorial optimisation problems using Graph Neural Networks at the Division of Data and Decision Sciences. Performed emperical analysis of current SoTA ML methods vs existing heuristic-based solvers for these problems.

Graph Neural NetworksCombinatorial OptimizationMachine Learning