Allen Philip J
Senior Machine Learning Engineer | Video GenAI | Firefly | IITM
8.1
Years of Experience
Education
iit madras indian institute of technology madras, sboa school and junior college
Companies
adobe, adobe, adobe, blue yonder, predible
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Allen's contact details
Email (Verified)
allXXXXXXXXXXXXXXXXXXom
Mobile Number
+91XXXXXXXX40
Experience
2023 - Present
adobe
Machine Learning Engineer 4, Firefly GenAI
2023 - 2023
adobe
Computer Scientist 2, Commerce Data Platform
Real-time Distributed Self-serve Workflow Tracking (In Progress) - Stream events at over 100k RPM throughput for tracking workflows in ABP - Self-serve support for users to onboard their workflows and manage themselves Self-serve Anomaly Detection ML Platform, Adobe Business Platform • Conceptualized and detailed out a novel solution to intelligently detect anomalies in key Commerce KPIs. • Lead the E2E PoC, requirement gathering, technical design, implementation, and deployment of the self-service anomaly detection platform. • Enabled rapid adoption with detailed documentation alongside a self-service platform to onboard KPIs, tune the ML models & alerting as per the business requirement.
2021 - 2023
adobe
Computer Scientist
AppStore Integration Service (AIS), Adobe Business Platform • Optimized multiple enterprise-level microservice applications of AIS which drives over $200 million revenue of Adobe indirect commerce • Enrich real-time monitoring of the AIS services which process over 2 million requests daily • Manage on-call responsibilities in the event of critical service outages
2016 - 2021
blue yonder
Senior ML Engineer, Demand Forecasting
- End-to-end design and implementation of a new distributed process module for supporting optimisation of price elasticity estimation for a customer as part of the pricing and promotion team. - Refactored and optimized existing retail price elasticity process to be more effective for code maintenance, improved testability, significantly decreased code complexity and allowed for a more effective agile development - Designed and implemented PoC for a low touch solution to inject intelligence and automate planning to improve promotion planning process using Machine Learning and Predictive Analytics - Worked on the side building a NodeJS utility tools with Python scripts to help support QA and testing
2016 - 2016
predible
Data Scientist - Intern
- Designed and implemented a multi-context deep learning algorithm for precise segmentation of digital pathological slides of ovaries for abnormality detection as a consultancy project for Sunpharma Pvt Ltd, Mumbai. - Implemented a post processing engine in Python for processing the outputs from the deep learning model and perform connected component analysis on the same for abnormality detection. - Optimized the runtime of the model and the post processing scripts. - Achieved 100% sensitivity and 95+% specificity on a test set of over 100 slides
Experience
61 Skills
Agile Methodologies
Algorithms
Amazon Web Services (AWS)
Anomaly Detection
Apache Airflow
Apache Kafka
Apache Spark
Apache Storm
Artificial Intelligence (AI)
Back-End Web Development
Big Data
Cloud Computing
Complexity Theory
Concurrent Programming
Data Analytics
Data Engineering
Data Science
Data Structures
Data Visualization
Design
Design Patterns
Distributed Systems
Elasticsearch
Event Driven Programming
Extract, Transform, Load (ETL)
FastAPI
forecasting
Generative AI
Grafana
Hadoop
Integration
Java
JavaScript
Keras
knockout
Linux
Machine Learning
Machine Learning (ML)
Microservices
Microsoft Excel
Microsoft Word
MySQL
Node.js
NoSQL
Object-Oriented Programming (OOP)
PowerPoint
Predictive Analytics
Python
Python (Programming Language)
PyTorch
Research Scientist
Server Side Programming
Software as a Service (SaaS)
Software Engineer
Software Engineering
Spring Framework
SQL
Systems Design
Technical Design
Time Series Forecasting
Unix
Education
2010 - 2014
iit madras indian institute of technology madras
Bachelor's Degree
Electrical Engineering
2000 - 2010
sboa school and junior college
High School
Computer Science
