Experience

Applied research and ML engineering

Impact-focused roles across research labs and industry teams.

Decision Tree Analytics & Services, Gurugram

Jan 2025 – Jun 2025

Developed real-time Tableau dashboards for supply-chain monitoring, reducing delivery delays by 25%.
Automated ETL pipelines and optimized SQL queries for logistics data, cutting query runtime by 20% and manual processing by 60%.
Worked with structured/unstructured datasets, applying preprocessing and feature engineering to reduce missing/duplicate data cases by 15%.

TEMS Tech Solutions, Remote

Aug 2024 – Nov 2024

Developed a hybrid CNN–LSTM model with DNN layers for malware detection in WordPress and webmail systems, achieving 70.3% accuracy.
Used SMOTE-based augmentation and regularization to balance imbalanced datasets, improving F1-score by 18%.
Streamlined experiment reproducibility with Python (NumPy, Pandas, TensorFlow, scikit-learn) and automated evaluation workflows, cutting setup time by 35%.

Tech Mahindra, Remote

Jul 2024 – Aug 2024

Fine-tuned ML/NLP models to optimize telecom field survey workflows, improving processing efficiency by 10%.
Deployed speech-to-text and text-to-speech systems using Python, Streamlit, and AWS EC2, reducing manual reporting time by 30%.
Evaluated LLMs for automated survey summarization, increasing report generation speed by 40%.

Defence Research and Development Organization, New Delhi

Jul 2023 – Sep 2023

Implemented supervised ML models for a crop recommendation system, improving yield prediction accuracy by 22%.
Analyzed large-scale agricultural datasets using Python, NumPy, Pandas, scikit-learn, optimizing model selection and feature engineering.
Built a Django web application with SQLite for visualization and experiment tracking, improving research accessibility.