Hello, I'm Rohit.
• Principal Platform Architect with extensive experience in AI/ML solution architecture, cloud platforms, and data-driven product innovation. • Proven expertise in transforming AI/ML capabilities into scalable business solutions. • Strong background in financial modeling, valuation analytics, and predictive analytics. • Team-oriented Data & Cloud architect with several years' experience in system and network administration, managing server infrastructures and datacenter operations across multiple platforms (Unix, Linux, Windows) and multiple cloud platforms ( AWS, Google, Azure ). • Adept at designing end-to-end AI/ML platforms, vendor evaluation, and model optimization to drive tangible business outcomes. • Self-starter with strong written and oral communication skills. Demonstrated success as a team player possessing the commitment and discipline to work well independently.
Details
- Number of Years Experience15-20years
- Education LevelMasters
Current/ Latest Job title
GenAI / ML Cloud Architect
Current Employer / Company
Designed and implemented descriptive statistics and analysis workflows (feature engineering) using Trifacta and Databricks to identify data attributes with high correlation to the incidence of COVID-19 in the VA population. This reusable tool can be adapted for similar viral outbreaks, such as Monkeypox. Spearheaded the onboarding of multiple Data and Analytics project teams onto the Summit Data Platform (SDP) data lake by analyzing business use cases and architecting resource groups with appropriate cloud components. Architected and deployed cloud services for Machine Learning and Generative AI solutions (Databricks, Machine Learning, OpenAI, AI-Search) adhering to VA data security and compliance standards. Built and fine-tuned machine learning models with a focus on accuracy metrics and performance optimization. Leveraged state-of-the-art techniques like PEFT and LoRA for fine-tuning large language models (LLMs). Applied Retrieval-Augmented Generation (RAG) methodologies to enhance information retrieval systems, ensuring relevance and scalability across diverse data types. Retrained LLM models to support a Q&A system aiding physicians in differential diagnosis, showcasing expertise in selecting and implementing techniques based on data type and problem requirements.
Industry
• Principal Platform Architect with extensive experience in AI/ML solution architecture, cloud platforms, and data-driven product innovation. • Proven expertise in transforming AI/ML capabilities into scalable business solutions. • Strong background in financial modeling, valuation analytics, and predictive analytics. • Team-oriented Data & Cloud architect with several years' experience in system and network administration, managing server infrastructures and datacenter operations across multiple platforms (Unix, Linux, Windows) and multiple cloud platforms ( AWS, Google, Azure ). • Adept at designing end-to-end AI/ML platforms, vendor evaluation, and model optimization to drive tangible business outcomes. • Self-starter with strong written and oral communication skills. Demonstrated success as a team player possessing the commitment and discipline to work well independently.
Country that I am located in
Suwanee, Georgia, USA
Specific Countries That I am Qualified In or Can Cover/ Global
Georgia, USA
Skills
Technical Skills • Operating System: Ubuntu, Red Hat Linux, Windows. • Cloud Infrastructure Environment: Amazon Web Services EC2 EMR & S3 instances, IAM, Snowflake, Databricks • NoSQL databases: Cassandra, MongoDB, ElasticSearch • Language/Software: Python, Java, Struts, Hibernate, ANT, Maven, JUnit, JDBC, Java Server Faces, Ruby on Rails,GWT, C++, C, Shell scripting, PHP, XML, XSLT, JavaScript, JQuery, DHTML, PL/SQL, Stored Procedures, XML Beans, MXML, Flex Framework, AJAX, Axis, LUCENE, SOLR,DROOLS,jBPM, ILOG JRules, FileNet, ERLANG,Oracle ADF • Generative AI: LangChain, FastAPI, PostGres Vector ( PG Vector database ) • Web/Application Servers: Apache Tomcat, JBoss, IBM Web Sphere 5 and Bea Web Logic 8.1, LDAP iPlanet server, MTS, IIS, WebSphere Portal Server, LifeRay Portal Server, DotNetNuke, Escenic CMS • Tools: PyCharm,Eclipse, Eclipse RCP, WebSphere Studio Application Developer, PL/SQL Developer • Distributed/Parallel Processing: Cloudera Hadoop,Mahout,HDFS,Cassandra,Hive Cloud Virtualization and orchestration Frameworks: Kubernetes, Docker, Terraform OpenStack, Google cloud ( Cloud storage, Big Query, Google pub/sub ) and Azure services ( HDInsight, Compute, AZURE SQL Managed service ), AWS components such as EC2, S3, Elastic IPs, EBS, Security Groups, Route 53, VPC, Azure Data Factory, Synapse, Databricks, • Source Control: Git, CVS
Areas of Interest
Cloud, GenAI, ML