SUMMARY:

• Dynamic, highly motivated, results oriented senior technology architect with 14+ years of demonstrated, diverse, hands - on experience in technology leadership, product strategy, architecture and design, software development and deployment, project management and customer/client relationship management.
• Proficient technical architecture and design skills across leading edge technologies. Specialized in Predictive Analytics, Modern Business Intelligence, Data Engineering and Architecture utilizing several state of teh art technologies as they emerged as cutting edge over time spanning AI, Machine Learning, Data Science, Big Data, Enterprise Data Warehousing, Data Mining and Reporting. Efficient in agile/scrum sprint based project planning.
• Hands on technical experience in progressively increasing responsibility roles at large companies and small startups building their respective corporate core products. Skilled in effectively communicating technology and architecture to both internal and external audiences including customers and senior executives.
• Expertise in all aspects of company/product life cycle from conception, budgeting, personnel development, product definition, agile product design and development, release management and customer support.
• Ability to thrive in vibrant and fluid environments while remaining pragmatic and focused on business goals.

TECHNICAL SKILLS:

Languages: Python, C++, C, Java, JavaScript, Matlab, SQL, PL/SQL, Lisp, various scripting languages. Familiarity with R, Octave and most software frameworks and libraries

AI/Machine Learning/Analytics: Keras, TensorFlow, PyTorch, scikit-learn, Google ML Engine, AutoML, Jupyter/CoLab, Amazon Sagemaker, AWS AI Services, matplotlib, Pandas, NumPy, PySpark, PyTorch, OpenCV, Machine Learning Algorithms/Models, NLP/NLU/NLG, Chatbots, Computer Vision/Pattern Recognition Algorithms

Cloud Technologies: Cloud-native systems, AWS EC2, S3, EBS/EFS, VPC, Docker, EKS, Lambda, SQS, SNS, Amazon RDS, Aurora, Redshift, DynamoDB, Azure, Google GCP, Snowflake, distributed systems/microservices, containers

Databases: Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Redis, Spark, NoSQL

DevOps/Tools: Agile/Scrum Master, strong SDLC principles, CI/CD, JIRA, Ansible, Jenkins, Docker, Git, TargetProcess, TFS, Fiddler, Toad, Anaconda, Kubernetes, Containerization, Orchestration/Automation, Kuberflow, ML Ops, MLflow, CT (Continuous ), Security Patterns, System Engineering/Administration

Big Data: Hadoop, Spark, Hive/Atana, Kafka, Cassandra, EMR, Google BigQuery, Cloudera, Elastic, Tableau

Other Servers: Various Apache Technologies/Servers, Informatica, Cognos, Hyperion WebLogic, WebSphere, SAP Business Information Warehouse, HANA, Oracle eBusiness Applications Suite

PROFESSIONAL EXPERIENCE:

Confidential

Architect/Technical Lead

Responsibilities:

• As solutions Architect and Lead, responsible for full life cycle of product design, architecture, development, deployment and technical support.
• Developed an ML based field recommender system for ITSM user entry forms based on a text similarity score.
• Teh ML engine returns a list of recommendations along with confidence values using Naive Bayes Algorithm. A Machine Learning based Text Similarity Model (TF-IDF) is used to determine teh most similar forms based on configured text fields similar to teh one currently being edited/created and averaging field confidence values.
• Designed and developed a Machine Learning model for image analysis based incident suggestion. Teh model was designed to suggest related tickets by scanning attached images and analyzing extracted text using OCR Optical Character Recognition and cloud based Computer Vision APIs.
• Developed an Error Detection ML model to find error dialogs (web errors, OS errors, blue screen etc.) on screenshot images. Teh Error Detection model was pre-trained with images collected on AWS to work in conjunction with teh incident suggestion model.

AI/Machine Learning Architect

Confidential

Responsibilities:

• Responsible end to end for product architecture, design, agile/scrum based product development and successful deployment.
• Designed and developed an Anomaly Detection and Risk Scoring system for UEBA User and Entity Behavior Analytics using unsupervised Machine Learning clustering models.
• K-Means clustering was used for base-lining and a recursive Decision-Tree based Isolation Forest algorithm was used for outlier analysis based on selected configurable events and weighted risk scores.
• Designed and developed an Intelligent Query Agent dat uses Machine Learning to summarize knowledge base articles and storing teh results in MS SQL tables.
• Designed and developed two different ML summarizer models. Teh Extract summarizer uses GenSim TextRank algorithm for extracting most informative sentences from larger documents. An Abstract summarizer attempts to paraphrase smaller documents and is built using Python and TensorFlow.

Machine Learning Engineer/Architect

Confidential

Responsibilities:

• Architected and developed a ChatBot for conversational user guidance where a JavaScript based WebClient uses RestAPI POST to request a Machine Learning based backend for answer prediction.
• Teh ML ChatBot Model uses a combination of Natural Language Processing (NLP), sentiment analysis, intent/action prediction or if applicable, returns KB knowledge base articles based on predicting document text similarity with confidence scores.

Engineering Manager

Confidential

Responsibilities:

• Successfully developed and launched several E-Commerce transactional web sites for planetU, partners and clients.
• These transactional web sites are capable of performing business-to-business-to-consumer (B2B2C) shopping cart-type targeted transactions, connecting retailers and consumers with planetU online promotion severs/platform.
• Responsible for complete product architecture, design and leading teh team for product development and rollout.

Lead/Architect, Business Intelligence and Analytics

Confidential

Responsibilities:

• As a Senior Architect of Business Intelligence at Amazon, helped establish and grow teh Commercial Business Intelligence Group with teh charter to create/commercialize and derive revenue from Data Sciences.
• Responsible for developing Business Intelligence Applications and Analytics Products targeting internal and external Amazon.com customers.
• Designed and developed ground-up from concept, two brand new commercial Business Intelligence/Analytics products from scratch - web-based Merchant Analytics portal for sellers and Vendor Analytics portal for suppliers on teh Amazon.com platform.

Technical Architect

Confidential

Responsibilities:

• Master Architect and Program Manager for teh design and implementation of Enterprise Data Intelligence Platform including Analytics Engine and teh online Targeting Engine at Drugstore.com.
• Responsible for all activities from definition and scoping (business justification) to resource planning, recruiting, task assignments, and sequencing of implementation.

Development Lead/Technical Staff

Confidential, CA

Responsibilities:

• Lead teh development team for teh Design, Architecture, Implementation and Testing of teh back-end/internals of Oracle Document Manager/Text Server, which is part of teh Oracle Media Server.
• Designed and developed full-text indexing, content-based searching and teh core revision control system. Designed and implemented Integration APIs and product installation scripts.