Hey! It's me Shachin,
Building Intelligent
systems that learn,
predict & transform.
I build end-to-end ML pipelines, real-time prediction systems, and AI-powered applications that transform complex data into scalable, real-world solutions.
Machine Learning
Deep Learning
AI Engineering
Neural Networks
MLOps
Computer Vision
NLP
Data Pipelines
I'm Shachin VP, an aspiring AI Research & Development Engineer with strong hands-on experience in Python, deep learning architectures, feature engineering, and statistical modeling. Experienced in building end-to-end ML pipelines, real-time prediction systems, and API-based deployments. Passionate about transforming complex data into scalable, real-world AI solutions through continuous learning and experimentation.
Notable Projects
Selected Works
Delivering end-to-end data value, including: OrbitXOS Space Tracking, Senior Business Analyst Portfolio, Director of ABB Company Portfolio, JV Associate LLC Website, and Lead Gen & Email Automation.
How I Approach a Project
Deconstructing complex product bottlenecks into mathematical objective functions. Before authoring code, I establish baseline metrics, false-positive thresholds, and strict P99 latency budgets.
01
Automated ETL pipelines with temporal splitting to eradicate lookahead bias, outlier neutralization, and high-entropy feature store embeddings.
02
Structured benchmarking across gradient-boosted trees, custom Transformers, and hybrid architectures with Bayesian hyperparameter tuning and ablation studies.
03
Compiling model weights via ONNX & TensorRT for sub-10ms edge inference with continuous Kolmogorov-Smirnov monitors for real-time concept drift.
04
Production models degrade without closed feedback loops. Automating active learning triggers, shadow deployments, and retraining pipelines for peak accuracy.
