Bennie Kristor Samuel

Co-Founder

India6 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in data engineering and machine learning.
Proven track record in optimizing operational workflows.
Strong leadership in product management and development.

Stackforce AI infers this person is a SaaS-focused data engineer with strong machine learning and product management expertise.

Contact

Skills

Core Skills

Data EngineeringMachine LearningData VisualizationAlgorithmsSoftware DevelopmentProduct ManagementBackend DevelopmentBusiness ManagementData Science

Other Skills

AWSAnacondaAnalytical SkillsArtificial Intelligence (AI)Artificial Neural NetworksAzure Data FactoryAzure FunctionsBig DataBig Data AnalyticsBusiness DevelopmentConvolutional Neural Networks (CNN)Data AnalyticsData ModelingData PipelinesData Processing

About

Well rounded, visionary data scientist with a broad spectrum of domain knowledge including machine learning, data science and implementing algorithms. Experienced in programming languages such as R, Python and SQL for algorithm development, data modelling, statistical learning and data visualization. Passionate and determined to improve business productivity and efficiency.

Experience

6 yrs 8 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs 2 mos

Current Experience

Codemonk

2 roles

Pre-Sale Soltuion/ Technical Architect | Solution Engineer | Software Enginner

Promoted

Apr 2024 – Present · 2 yrs 2 mos

1. Product Engineering
Spend Analysis: Full ownership across BA, SA, Dev, Data Eng, DevOps, QA. Integrated 10+ SAP tables & vendor payment data using Azure Data Factory + Databricks (PySpark/SQL) with business logics from SharePoint. Engineered pipelines (UDL → PDL) and built Power BI dashboards for vendor spend & cost centers. Reduced effort from 4 months to hours, enabling near real-time analytics.
NPS (Net Performance Stats): Built serverless ingestion pipelines in Azure Functions to chunk, recursively ingest, and recover data into Cosmos DB (Mongo API). Added cron-based retry mechanisms and exposed APIs for consumption using a browser extension
Automations: Delivered browser extensions integrated with Function Apps (APIs) to automate repetitive workflows, reducing manual effort and improving UX
Image Analytics Platform: Architected on-prem/edge inference systems for safety detection (helmets, vests, falls, ANPR). Built camera → TRT server pipelines configured via YAML, deployed Linux services, applied face-masking, stored detections locally + in S3, and enabled real-time alerts & Raspberry Pi displays
Ground Control Unit: Designed a JavaScript-based drone flight path algorithm using trigonometric transformations for dynamic auto-navigation.
Infra Optimization: Drove cloud cost reduction via workload right-sizing, containerization (Docker), and pipeline refactoring without SLA impact.
2. Pre-Sales(BA)
Led requirement discovery, stakeholder workshops, and solution design for enterprise clients.
Built and demoed POCs: GenAI for Video Analytics (metadata enrichment for music), Document Intelligence, Net Material Impact Forecasting (via MCP + GenAI DB connectors), etc.
Produced solution architectures, cost/effort models, and PRD reviews, aligning business requirements with technical feasibility.
Delivered CxO-level presentations, bridging pre-sales with engineering.

Azure Data FactoryDatabricksPower BIPythonSQLDevOps+3

Software Engineer

Jun 2023 – Apr 2024 · 10 mos

Led Azure serverless functions to construct automation for optimising operational workflows.
Developed robust data pipelines, utilizing HTTP requests to retrieve, serve-less functions to process, and blob storages to store data efficiently
Spearheaded chatbot development, enhancing conversational experiences using frameworks similar to Dialogflow.
Contributed to Photogrammetry DevOps pipeline and contributed to improvising a scaling technique.
Reviewed proposal documents and crafted project solution proposals.
Deployed and maintained Flask applications, contributing to Django projects.
Directly worked on-site with client
Worked on building Data Piplines Using Azure DataBricks
Written Algorithms to control drone flight path via Ground Control Unit

Azure FunctionsFlaskDjangoData PipelinesSoftware DevelopmentData Engineering

Insureka

Generalist (Solutions, Production Support & Co-Product Manager)

Aug 2023 – Feb 2024 · 6 mos · Bengaluru, Karnataka, India · On-site

On-site / Client location (Client of CodeMonk)
Participate in on-site discussions with business leadership, to strategise, gather requirements and develop road maps
Facilitating seamless communication between back-office teams and the tech- team, addressing and resolving raised issues promptly
Collaborate with Product Owners to prioritize features and manage ad-hoc requests
Optimise Product management by reintroducing Jira and streamlined workflow processes
Independently managed the release of micro-features
Develop unit test cases for critical business logic

JiraProduct Management