Prashant G. — Software Engineer

As a Data Scientist at XSOR Capital, our team's trading profits soared by 20% through my innovation in machine learning-driven strategies, and risk exposure was cut by 12%. With a strong educational foundation from the Erasmus Mundus Programme, I'm currently mastering deep learning, supplementing my hands-on experience in big data analytics. My core competencies in statistical analysis and algorithm development enabled us to optimize trade exits at XSOR Capital, significantly maximizing profits. With a penchant for research and a solid skill set in Python and large language models, I am poised to contribute to avant-garde projects that blend finance and technology. Leveraging Databricks workflows, I built a secure and reliable Delta Lake for batch inferencing and reporting. I designed data models using the Medallion architecture to optimize ETL processes and enhance data processing efficiency. Additionally, I developed low-latency RESTful APIs to handle traffic efficiently and enable real-time machine learning inference. To streamline development, I implemented automated environments in Azure, accelerating version delivery and allowing developers to focus on coding. Currently, I am leading the development of LLM and ML pipelines to generate customized reports, empowering users with insights into their daily health. Experienced in designing and developing Big Data based solutions using various Hadoop distributions (HDP, Cloudera, AWS-EMR). Experienced in providing architectural and engineering solutions using Azure Cloud Services such as Databricks, Data Factory, IoT Hub, Event Hub,

Stackforce AI infers this person is a Fintech and Big Data specialist with strong machine learning expertise.

Location: Mechelen, Flemish Region, Belgium

Experience: 6 yrs 10 mos

Skills

Machine Learning
Statistical Analysis
Big Data

Career Highlights

Increased trading profits by 20% through ML strategies.
Optimized ETL processes with Medallion architecture.
Led development of LLM and ML pipelines.

Work Experience

Bnewable

Software Engineer (1 yr 2 mos)

XSOR Capital

Data Scientist (5 mos)

Erasmus Mundus Programme

Graduate Student (2 yrs 1 mo)

Licious

Backend AI Engineer (2 yrs 2 mos)

Juniper Networks

Software Engineer 2 (2 mos)

Software Engineer 1 (1 yr 11 mos)

Software Intern (5 mos)

Education

Master's degree at Università degli Studi di Padova

Big data management and Analytics at Universitat Polit��cnica de Catalunya

Master of Science - MS at Université libre de Bruxelles

Bachelor of Technology at Thapar Institute of Engineering & Technology

Intermediate at Sunbeam School Bhagwanpur varanasi

Master's degree at Université libre de Bruxelles

Prashant G.

Software Engineer

Mechelen, Flemish Region, Belgium6 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Increased trading profits by 20% through ML strategies.
Optimized ETL processes with Medallion architecture.
Led development of LLM and ML pipelines.

Stackforce AI infers this person is a Fintech and Big Data specialist with strong machine learning expertise.

Contact

prashant.gupta@bnewable.com +18288851879 LinkedIn

Skills

Core Skills

Machine LearningStatistical AnalysisBig Data

Other Skills

ARIMAAWS EMRAWS LambdaAWS SQSAgentic aiAirflowAlgorithmsAmazon RedshiftAmazon Web Services (AWS)AnalyticsAnomaly DetectionAnomaly detectionApache KafkaApache SparkArtificial Intelligence (AI)

About

Experience

6 yrs 10 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 2 mos

Current Experience

Bnewable

Software Engineer

Mar 2025 – Present · 1 yr 2 mos · On-site

Xsor capital

Data Scientist

Feb 2024 – Jul 2024 · 5 mos · United Kingdom · Remote

Innovated ML-driven trading strategies that dynamically adjusted to market conditions, resulting in a 20% increase in trading profits and reduced risk exposure by 12%
Crafted a price management strategy leveraging statistical analysis to determine the optimal timing for exiting trades and maximising profits.
Introduced filters to remove the bad trades based on time, volatility and candle patterns, removing 90% of signals.
Tools: MT5 trader, Seaborn, Python

Machine LearningStatistical AnalysisPythonMT5 traderSeaborn

Erasmus mundus programme

Graduate Student

Sep 2022 – Oct 2024 · 2 yrs 1 mo

Licious

Backend AI Engineer

Jun 2021 – Aug 2023 · 2 yrs 2 mos · Bangalore · On-site

Optimised engineered features by creating a data model pipeline using ETL to be fed into the model for forecasting region-wise product demand.
Led multiple A/B testing experiments to enhance early funding rates, activation, retention, and user experience.
Designed a tool for archiving MongoDB documents to AWS S3, deployed in production, and successfully archived 50 million documents without any latency drop in the database using Aws lambda.
Led a team to stabilise Metabase and transition the entire organisation from Amazon RDS to Redshift in just two months, cutting the timeline from four months.
Added an Alert Generation module to automatically generate & dispatch slack notification, notifying stakeholders about system failures.
Built in-house distributed model storage system based on HDFS and MySql and developed configurable interfaces for efficient storage, retrieval and management.
Managed campaigns and user engagement insights using Clevertap, deriving actionable insights.
Tech Stack: Python, Scala, Airflow, Kuberenetes, AWS lambda, AWS SQS, Kafka, AWS EMR, Machine learning.

PythonScalaAirflowKubernetesAWS LambdaAWS SQS+4

Juniper networks

3 roles

Software Engineer 2

Apr 2021 – Jun 2021 · 2 mos

Software Engineer 1

Jul 2019 – Jun 2021 · 1 yr 11 mos

Contrail HealthBot
Contrail HealthBot is a network health and diagnostic solution that provides consistent and coherent operational intelligence across network deployments.
Owned and enhanced and the CI/CD infra
Build the Version based Test Infra
Developed new feature for easy deployment.