About
1. A qualified professional with ~10 years of experience in architecture, development, implementation, and support of microservices and multi-tier Python web applications.
2. Currently Developed and enhancing, an internal GenAI platform leveraging foundation models (LLMs) to power domain-specific automation and NLP workflows at Clariant.
3. Implemented RAG pipelines, prompt orchestration, and system integrations in Clarita to support use cases like knowledge retrieval, document summarization, and conversational AI.
4. Proficient in designing and developing cloud-native applications tailored for scalable, high-performance environments.
5. Collaborated with cross-functional teams, providing technical guidance on project architecture, design strategies, and implementation best practices.
6. Strong hands-on experience with a wide range of AWS services for integration, storage, compute, networking, governance, and more.
7. Delivered robust production-grade applications across multiple projects using both serverless and traditional server-based architectures.
8. Hands-on experience in developing web applications using Django and Flask frameworks.
9. Proficient in system integration using RESTful APIs and building interoperable services.
10. Extensive experience with AI libraries and frameworks for various machine learning and deep learning use cases.
11. Built and deployed AI/ML solutions including an NLP-powered ticket dispatching system for automated classification and routing.
12. Deep expertise in streaming platforms such as Apache Kafka, Amazon Kinesis, and Firehose for real-time data processing.
13. Experience in leading large teams and managing complex technical processes across full development life cycles.
14. Working knowledge of Azure and GCP, contributing to cloud-agnostic solution design.
15. Strong hands-on experience with Linux environments, including successful integration with on-premises systems.
16. Expertise in project and database migration to AWS cloud infrastructure.see more
Experience
Tell us about your professional experience
Education
Where did you complete your basic education from?
Skills
Python Advanced
Python Basics
Python Visualization
Python Exception Handling
Data Science, AI and ML
Programming (Data Science)
Amazon Web Services (AWS)
AWS Basics
Django
Flask
PostgreSQL
Microsoft Azure
REST APIs
JIRA
Data Structures & Algorithms
Accomplishments
Certifications
Aws Solutions Architect
Issued : Sep 2024
Machine learning Fundamental
Issued : May 2020
ITIL Foundation
Issued : Feb 2006
Languages
English
About
1. A qualified professional with ~10 years of experience in architecture, development, implementation, and support of microservices and multi-tier Python web applications.
2. Currently Developed and enhancing, an internal GenAI platform leveraging foundation models (LLMs) to power domain-specific automation and NLP workflows at Clariant.
3. Implemented RAG pipelines, prompt orchestration, and system integrations in Clarita to support use cases like knowledge retrieval, document summarization, and conversational AI.
4. Proficient in designing and developing cloud-native applications tailored for scalable, high-performance environments.
5. Collaborated with cross-functional teams, providing technical guidance on project architecture, design strategies, and implementation best practices.
6. Strong hands-on experience with a wide range of AWS services for integration, storage, compute, networking, governance, and more.
7. Delivered robust production-grade applications across multiple projects using both serverless and traditional server-based architectures.
8. Hands-on experience in developing web applications using Django and Flask frameworks.
9. Proficient in system integration using RESTful APIs and building interoperable services.
10. Extensive experience with AI libraries and frameworks for various machine learning and deep learning use cases.
11. Built and deployed AI/ML solutions including an NLP-powered ticket dispatching system for automated classification and routing.
12. Deep expertise in streaming platforms such as Apache Kafka, Amazon Kinesis, and Firehose for real-time data processing.
13. Experience in leading large teams and managing complex technical processes across full development life cycles.
14. Working knowledge of Azure and GCP, contributing to cloud-agnostic solution design.
15. Strong hands-on experience with Linux environments, including successful integration with on-premises systems.
16. Expertise in project and database migration to AWS cloud infrastructure.see more
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