Saransh Bhandari

AI Researcher

Madhya Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Built 100+ ML data pipelines for trading optimization.
Developed over 250 high-Sharpe alphas for live trading.
Achieved 96% accuracy in image recognition project.

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

Contact

saranshbhandari61@gmail.com LinkedIn

Skills

Core Skills

Machine LearningQuantitative FinanceSoftware EngineeringQuantitative ResearchData Science

Other Skills

AI TrainingAgile MethodologiesAlgorithmsAnalytical SkillsArtificial Intelligence (AI)Artificial Neural NetworksAzureMLC (Programming Language)C++Code RobustnessCommunicationComputer ScienceComputer VisionCritical ThinkingData Analysis

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Deqode labs

Research And Development Engineer

Jan 2024 – Present · 2 yrs 5 mos · India · On-site

Built 100+ ML data pipelines for trading model using Python asyncio and Feast, reducing latency by 40% through customized infra
and data pipeline development across on-prem/cloud baremetal.
Engineered latency-sensitive services using Ray, Rust, and Polars for model serving, achieving a 60% increase in performance
optimization and significantly enhancing data quality assurance.
Build custom Order Management System ( OMS ) in Go from scratch for high frequency trading application in Defi, achieving high
throughput while processing 1000s of order per seconds.

PythonRayRustPolarsOrder Management SystemHigh Frequency Trading+2

Remotasks

Software Engineer - AI trainer

Oct 2023 – Dec 2023 · 2 mos · Remote

In a short stint as an AI Trainer at Remotasks, I was responsible for delivering solutions to complex coding challenges using Python and my data science expertise. Key accomplishments include:
Ensuring Code Robustness: I developed comprehensive test cases for various projects, significantly enhancing code reliability and reducing potential errors, thus maintaining high standards in software quality.
Project Delivery: My role ensured that projects were completed on time and to the required standard, focusing on high-quality solutions and effective problem-solving.

PythonAI TrainingCode RobustnessSoftware Engineering

Worldquant

Quantitative Research Consultant

Nov 2022 – Oct 2023 · 11 mos · Remote

Developed 250+ high-Sharpe alphas (Sharpe > 5.2) via time-series modeling and statistical analysis, directly contributing to a
live-trading global portfolio.
Created automated alpha discovery bot using Genetic Algorithms—enhancing data strategy and research-heavy projects for scalable
portfolio optimization.
Applied diverse data analysis and iterative experimentation on time-series models, improving quantitative research KPIs (Sharpe ratio,
drawdowns) in portfolio tests.

Time-Series ModelingStatistical AnalysisGenetic AlgorithmsQuantitative Research

Orange data tech

Data Science Intern

Jul 2022 – Nov 2022 · 4 mos · Indore, Madhya Pradesh, India · On-site

Conducted exploratory data analysis (EDA) and custom ETL on 10M+ records, boosting forecast accuracy by 50% using AzureML.
Automated data wrangling and data reporting workflows using AzureML + Power Automate to streamline data management and
integration.
Presented insights with data visualization and data storytelling, showcasing strong data interpretation and technical leadership in an
ML POC.

Exploratory Data AnalysisAzureMLData VisualizationData Science

Remarkskill education

Artificial Intelligence Intern

Aug 2021 – Sep 2021 · 1 mo

Made an image recognition project to learn and implement Artificial neural network
using TensorFlow library in python with test accuracy of more than 96%.

TensorFlowImage RecognitionArtificial Neural NetworksMachine Learning