Looking for a job

Hardik Munjal

@hardikmunjal

Message

Senior Data Scientist specializing in Generative AI, MLOps, and production-grade LLM deployments.

India

Message

What I'm looking for

I seek senior roles building production-grade Generative AI and MLOps systems where I can deploy LLMs, architect scalable ML infrastructure, collaborate cross-functionally, and drive measurable business impact in cloud-native environments.

I am a Senior Data Scientist with 6+ years of experience deploying production-grade LLMs, MLOps pipelines, and predictive models at scale, focused on delivering measurable business impact.

I specialize in Generative AI, prompt engineering, RAG systems, and advanced feature engineering; I architect enterprise ML solutions that improve decisioning and automation.

Notable achievements include a Smoker Propensity Model that improved underwriting recall by 20% and achieved 310% lift over baseline while saving ~1,500 annual hours, and an LLM-powered feature extraction pipeline that processed 386K medical records to expand usable training data by 96% with <4% error rate.

I design end-to-end MLOps infrastructure using MLflow, Docker, Seldon-core, and CI/CD, and I work across Azure, AWS, and Databricks environments; I hold a Master of Data Analytics and Azure-focused certifications.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Canada Life

Sep 2023 - Present (2 years)

Architected and deployed a Smoker Propensity XGBoost model on Azure ML, improving underwriting recall by 20% and achieving 310% lift over baseline while delivering ~1,500 hours in annual automation savings; led LLM-powered feature extraction across 386K records to expand usable training data by 96% with <4% error and established MLflow/Docker CI/CD for production.

XGBoost Prompt Engineering MLFlow Docker CI CD Data Wrangling

Data Scientist

Eaton India Innovation Center

Apr 2021 - Aug 2022 (1 year 4 months)

Developed a change point detection algorithm for predictive maintenance across 600+ UPS units with 20 parameters and delivered insights via Power BI dashboards; architected a serverless Azure Functions monitoring solution that reduced deployment time from 4 hours to 20 minutes.

Change Point Detection Time Series Analysis Azure Functions Power BI Monitoring ETL Statistical Analysis Predictive Maintenance

Data Scientist

Hitachi Consulting

Aug 2019 - Apr 2021 (1 year 8 months)

Architected an end-to-end MLOps system using MLflow and Seldon-core for Kubernetes deployments, reducing deployment time by 60%; built an NLP solution with AWS Textract, NLTK and SpaCy achieving 80% accuracy for field extraction and developed ensemble models (XGBoost, LightGBM) with 78% F1 for defect prediction.

MLFlow Seldon Kubernetes NLTK SpaCy XGBoost LightGBM SHAP

Associate Innovation Engineer

Zensar Technologies

Jul 2018 - Jul 2019 (1 year)

Developed CNN-based computer vision models for autonomous navigation and scene segmentation on 50,000+ images achieving 78% steering prediction accuracy; deployed facial recognition (79% accuracy) and footfall detection (89% accuracy) via optimized Django REST APIs handling 1,100+ concurrent requests.

Computer Vision CNN TensorFlow Image Processing Facial Recognition Concurrency

Education

Degrees, certifications, and relevant coursework

Western University

Master of Data Analytics, Data Analytics

2022 - 2023

Activities and societies: Relevant coursework: Statistical Modelling, Machine Learning, NLP, Banking Analytics.

Completed Master of Data Analytics covering statistical modelling, machine learning, NLP, and banking analytics from Sep 2022 to Aug 2023.

NorthCap University

Bachelor of Technology, Computer Science

2014 - 2018

Activities and societies: Awarded 1st position in Final Year Project for assistive technology development.

Bachelor of Technology in Computer Science completed from Jun 2014 to Jun 2018 and awarded 1st position in the final year project for assistive technology development.