Freelancer profile translated to English.
Back to original languageAbout Yashovardhan
I assist CTOs, Heads of Data, and executives in designing and deploying robust AI, software, and data systems that create sustainable business value without destabilizing existing infrastructure.
I intervene where challenges are critical: framing complex problems, architectural choices, AI industrialization, technical debt, data reliability, and scaling. My role is to bring clarity, structure, and technical arbitration, directly aligned with business objectives.
With experience in Europe and Asia, I have supported organizations at various maturity levels, from exploration to industrialization, to transform data or AI initiatives into truly production-ready systems. I favor solutions designed for longevity, integrating cost, maintenance, and operational constraints from the outset.
My interventions focus on:
• Defining and implementing AI/data strategies aligned with product and business priorities.
• Architecting and industrializing reliable, observable, and auditable AI/ML solutions.
• Structuring data platforms and decision support systems that produce actionable and trustworthy insights.
• Supporting technical teams and management in making high-impact, structural decisions.
As an independent consultant, I offer a senior, external, and operational perspective, with a strong focus on risk reduction, cost control, and measurable value creation. I work in close partnership with internal teams, providing ad-hoc support or longer-term engagements.
👉 Available for consulting, architecture, or critical delivery missions, when technical challenges require a precise balance between innovation, reliability, and business impact.
For more information:
English
Native or bilingual
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- DataDomeMachine Learning Engineer & Data/Software EngineerTECHFebruary 2022 - December 2025 (3 years and 10 months)Marseille, FranceLarge-scale Impact5T+ signals/day · <2 ms inference · <0.01% false positives · ~60% of fraudulent traffic segmented and blocked
Large-scale Bot and Fraud Detection Platform
Real-time, account-level fraud detection combining behavioral and contextual signals through low-latency backend services.- Developed scalable Python backend services for real-time detection
- Supported client-side behavioral pipelines, from JavaScript collection to backend ingestion and validation
- Implemented account-level fraud detection logic
Bot Vulnerability Assessment Tool
Improved detection robustness by systematically identifying evasion vulnerabilities through reproducible adversarial testing.- Designed and optimized a bot resistance assessment tool
- Developed bot testing frameworks (JavaScript and Python)
- Performed isolated, repeatable, and low-cost Lambda executions
Internal Tooling
Enhanced operational efficiency and system security.- Developed internal tools to increase developer productivity
- Implemented a custom ORM to secure database access
- Simplified multi-cluster Elasticsearch access
- Reduced technical debt through standardized libraries and abstractions
Testing & Automation
- Implemented unit, integration, and performance tests
- Automated recurring tasks using scheduled or on-demand Python jobs
Predictive and Diagnostic Modeling
High-precision fraud detection under production load.- <0.01% false positives with over 5T signals/day
- ~60% of fraudulent traffic correctly segmented and blocked
- Strengthened detection strategy (thresholds, feature relevance, performance stability)
- DataDomeR&D Software EngineerTECHApril 2021 - August 2021 (4 months)Marseille, FranceI developed and designed a tool in Scala to generate synthetic data and inject it into the detection engine to identify performance bottlenecks in the behavioral detection engine.I used Flink as a streaming and batch processing framework, aiming to perform non-regression tests to prevent any performance degradation.
- IBI GroupSmart Cities EngineerARCHITECTURE AND URBAN PLANNINGAugust 2018 - August 2018Delhi, IndiaAutomation and Incident Management Workflows: design and architecture of solutions for smart cities, aiming to improve operational efficiency and security.
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Education
- Master Artificial Intelligence and Machine LearningAix-Marseille University2022
- Bachelor of Science in Computer ScienceAix-Marseille University2020