SOHAM
GORE
Machine Learning Engineer
&& AI Researcher
EXPERIENCE
Learning in public, contributing in practice.
FlyRank AI
Machine Learning Engineering Intern
Engineered a search content refresh scoring pipeline across 30,000 records. Evaluated classification architectures, boosting review queue precision to 0.85 P@20, and deployed a reproducible end-to-end ML decision engine.
KJ Somaiya School of Engineering
Research Intern
Proposing and developing an end-to-end hybrid multimodal fake news detection framework integrating LLMs and Graph Neural Networks for cross-modal, evidence-first reasoning.
Elevate Labs
AI & ML Intern
Developed deep learning architectures and automated spectral signal processing pipelines for audio classification, boosting F1-scores by 12% and enabling sub-200ms low-latency inference.
OPEN SOURCE
Building the foundations of modern AI tooling.
etsi-ai
Maintainer & Core Developer
Launched etsi-etna on PyPI, optimizing neural network frameworks by combining Rust speed with Python runtimes. Engineered automated drift detection pipelines to isolate root-cause model failures.
PROJECTS
Selected machine learning projects.
SKILLS
The tools behind practical machine learning systems.
Programming & Development
Core languages and frameworks used to build scalable application systems.
ML & DL Frameworks
Tooling for machine learning development and deep neural architectures.
Data Pipelines & Processing
Structuring and transforming raw data for high-performance models.
Modeling & Evaluation
Rigorous statistical testing and validation for robust model performance.
Geospatial & Remote Sensing
Analyzing satellite imagery and optimizing complex spatial pipelines.
Production & Deployment
Bringing models from research into reliable, monitored production environments.