Open to opportunities

Forother Uses

@forotheruses

Message

I build production machine learning, NLP, and generative AI systems for healthcare and SaaS.

India

Message

What I'm looking for

I'm looking to build and evaluate production ML, NLP, and generative AI systems, especially RAG, MCP, and AI-agent workflows, where model quality, interpretability, monitoring, and measurable user adoption matter.

I've delivered production ML systems at Biodesign Innovation Labs, improving clinical prediction ROC-AUC from 0.76 to 0.88 and reducing false negatives by 23% through feature engineering, SMOTE, and nested cross-validation.

I build trustworthy AI workflows with monitoring, drift detection, rollback guidance, and SHAP explainability. This work reduced time-to-mitigation by 40% and increased pilot adoption of AI-assisted clinical decision support by 30%.

Across Invisible Technologies, SAL Biosciences, and Social+, I've evaluated LLM outputs, stabilized ETL and microservice workflows, built NLP sentiment models, and deployed REST services using Python, SQL, MLflow, DVC, Flask, AWS, and Docker.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Specialist

Current

Invisible Technologies

Dec 2025 - Present (8 months)

Solved applied ML and Generative AI tasks, iterating from baseline solutions to optimized workflows that improved model reasoning quality and response consistency. Evaluated LLM outputs and scientific writing using structured review and impact across NLP and reasoning tasks.

Machine Learning Generative AI LLM Evaluation NLP Prompt Engineering Model Evaluation

Current

Machine Learning Engineer

Current

Biodesign Innovation Labs

Nov 2024 - Present (1 year 9 months)

Built and deployed production ML models for clinical prediction and treatment recommendation; improved ROC-AUC 0.76→0.88 via feature engineering, SMOTE, and nested cross-validation, while reducing false negatives 23% on validation cohorts. Implemented model monitoring and data drift detection for production ML systems, tracking AUC, recall, precision, and false-negative rate with alerting and roll

Machine Learning Feature Engineering SMOTE Cross Validation Model Monitoring Model Data Drift Detection SHAP Explainable AI MLOps MLFlow DVC AWS

Data Management Consultant

SAL Biosciences Pvt Ltd

Apr 2024 - Sep 2024 (5 months)

Stabilized ETL pipelines and microservices for a nutrition product, improving pipeline success to 99% and reducing failures 60% through retries, schema validation, and operational alerting. Developed automated SQL models and Power BI dashboards for business operations and growth analytics, reducing reporting turnaround from 1 day to 30 minutes.

ETL Data Pipelines SQL Power BI Microservices Alerting

Machine Learning Engineer Intern

Social+

Dec 2023 - Jan 2024 (1 month)

Built and deployed an NLP tone and sentiment classification model on 50k labeled tweets using scikit-learn and XGBoost, achieving 92.4% accuracy and macro-F1 0.90 while reducing manual moderation workload by ~40%. Implemented Selenium and API-based data ingestion pipelines, increasing data throughput 3.2x and reducing labeling cycle time 25% through retry/backoff logic and schema validation. Packa

NLP Sentiment Analysis scikit learn XGBoost Selenium REST APIs Data Pipelines A B Testing