Looking for a job

Anshul Yadav

@anshulyadav1

I'm building AI-native decision platforms and intelligent systems that improve assessment integrity, adoption, and operational efficiency.

India

Message

What I'm looking for

I'm looking to build AI-native products where I can turn LLM, RAG, ML, and behavioral insights into scalable customer and operational outcomes with strong engineering and data teams.

I'm building AI-native products at Mercer Mettl, where I own strategy and technical roadmaps for SpeechX, CertiCheck, and ExamineER serving 100K+ global users.

I led SpeechX from MVP scope through iterative experimentation to production, scaling NLP-driven evaluation and conversational intelligence systems. I also built predictive monitoring with Python, Random Forest, and XGBoost, reducing false-positive integrity alerts by 28% and improving review efficiency by 30%.

I use Mixpanel, SQL, and Power BI to turn behavioral signals into product decisions, helping improve platform completion and workflow continuity by 22%. My work on CertiCheck automated scoring and real-time validation reduced onboarding configuration timelines by 30%.

Earlier, I built CI/CD and containerized deployment pipelines at Learnx and developed predictive analytics workflows at Uplers. I enjoy translating user needs, machine-learning capabilities, and system constraints into practical roadmaps for LLM, RAG, agentic AI, and intelligent automation products.

Experience

Work history, roles, and key accomplishments

Current

Member of Technical Staff

Current

Mercer Mettl

Dec 2023 - Present (2 years 9 months)

Owned product strategy and technical roadmap for three AI-native platforms serving 100K+ global users. Designed predictive monitoring and anomaly-detection systems, architected product telemetry, and drove experimentation-driven roadmap execution.

Python Random Forest XGBoost Mixpanel SQL Power BI A B Testing KPI Design Product Strategy AI Product Management NLP LLM RAG AI Agents Experimentation Stakeholder Management

Software Engineer Intern

Learnx

Sep 2022 - Feb 2023 (5 months)

Built and optimized CI/CD and containerized deployment pipelines using Jenkins, GitLab CI, Docker, and Kubernetes. Developed monitoring systems and deployment telemetry workflows for cloud-native infrastructure.

Jenkins Gitlab CI Docker Kubernetes CI CD Monitoring Cloud Infrastructure

Machine Learning Engineer Intern

Uplers

May 2022 - Sep 2022 (4 months)

Developed predictive analytics and ML workflows using Python, TensorFlow, and Scikit-learn. Built data preprocessing, feature engineering, and model evaluation systems to improve prediction quality and inference efficiency.

Python TensorFlow scikit learn data preprocessing Feature Engineering Model Evaluation Predictive Analytics