Deep Rodge

Software Engineer

San Francisco, California, United States4 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Large Language Models and Computer Vision.
Won 6 out of 8 hackathons, showcasing competitive edge.
Best Paper Award for solar irradiance forecasting research.

Stackforce AI infers this person is a Data Science and AI Engineering professional with expertise in geospatial and mobile application development.

Contact

drodge@asu.edu LinkedIn

Skills

Core Skills

Computer VisionAi Software EngineeringPublic SpeakingEvent ManagementData ScienceMachine LearningMobile Application DevelopmentApi Development

Other Skills

3D Geospatial Segmentation3D segmentationAPI ImplementationAdobe PhotoshopAfter EffectsAlgorithmsArtificial Intelligence (AI)Artificial Neural NetworksAutomationC++Cascading Style Sheets (CSS)CockroachDBComputer ScienceCustom OCRD3.js

About

AI and Data Science professional with expertise in Large Language Models (LLMs), Computer Vision, and MLOps. Skilled in developing and deploying AI solutions using PyTorch, TensorFlow, Docker, and cloud platforms like AWS and Kubernetes. My achievements include winning 6 out of 8 hackathons, judging one, and earning a "Best Paper Award" for research on solar irradiance forecasting. I’m seeking roles as an AI Engineer or Software Developer to create impactful, scalable AI solutions that drive real-world applications.

Experience

4 yrs 11 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 2 mos

Current Experience

Arizona state university

AI Software Engineer

Apr 2024 – Present · 2 yrs 2 mos · Tempe, Arizona, United States · Remote

Contributed to a NASA project, reconstructing Moon terrain using neural radiance fields (NeRFs) from Apollo 17 images.
Developed an automated 3D geospatial segmentation workflow for PG&E, leveraging custom region-growing segmentation (unsupervised learning), k-means clustering, and basal point estimation to isolate precariously balanced rocks.
Created an interactive GUI for geologists and students to perform segmentation, basal point estimation, and geological analysis on point clouds exceeding 12M points scaned using DJI LiDARs.

Neural Radiance Fields (NeRFs)3D Geospatial SegmentationUnsupervised LearningK-Means ClusteringPoint CloudsInteractive GUI Development+2

Wizcommerce

Data Science Intern

Jun 2022 – Aug 2022 · 2 mos · Gurugram, Haryana, India

Implemented Few-Shot Learning, and custom OCR to automate data extraction, saving 98% of manual effort.
Performed EDA on 1.6M importers and exporters’ data, extracting useful insights using MongoDB and Python.
Constructed a recommendation system based on the 1.6M datasets for current users, new importers, and products.
Provided data-driven insights for strategic decision-making, assisting the CTO and CPO in shaping company strategy.

Few-Shot LearningCustom OCRData ExtractionExploratory Data Analysis (EDA)MongoDBPython+2

Tarent

Mobile Application Developer

Feb 2021 – Apr 2021 · 2 mos · Delhi, India · Remote

Worked on a Flutter app, improved page loading time by 53%, and ensured robust API implementation.
Managed retrieval, processing, storage (SQLite), and viewing of sophisticated data from internal REST APIs.
Communicated technical risks twice to the CEO, aiding in decision-making to prevent downtime and improve performance.

FlutterAPI ImplementationSQLiteREST APIsMobile Application DevelopmentAPI Development

Acm, nit surat

Executive

Aug 2020 – May 2023 · 2 yrs 9 mos

Led marketing campaigns of 2 events to make students aware of the ACM events.
Delivered 2 talks on Machine Learning, and Flutter with over 30 attendees in each.

Marketing CampaignsPublic SpeakingMachine LearningFlutterEvent Management