Aditya Sharma

I build and deploy machine learning and data science systems that solve real business problems, not academic ones. My work sits at the intersection of ML engineering, predictive modeling, and NLP/LLMs, with end-to-end ownership from data pipelines to production deployment. I’ve delivered models across fraud detection, compliance automation, engagement scoring, time-series forecasting, and large-scale content generation. This ranges from XGBoost and classical ML all the way to BERT, YOLOv5, GPT-4/4o, and LLM-powered automation tools. I don’t ship notebooks, I ship production ML. That includes: 1. Real-time + batch inference systems (FastAPI, Lambda, Docker) 2. Automated pipelines, retraining workflows, and monitoring (Airflow, MLflow, AWS) 3. NLP systems for text classification, embeddings, and LLM-driven content generation 4. Forecasting, segmentation, uplift modeling, and experiment design 5. SHAP/LIME interpretability and business-facing insights I care about building solutions that scale, that are explainable, and that generate measurable ROI, not models that die in a Jupyter notebook. If you’re building ML systems, deploying models, or scaling data products and want someone who can deliver end-to-end, let’s talk. Email me at adityaasharma7007@gmail.com