● Define the vision and requirements for the solution, recommend potential solutions, select the most optimal option, and develop scalable solutions for AI use cases.
● Experience in end-to-end project execution, requirement analysis, risk identification & mitigation, Internal and External Team communication, Client communication, Status calls, and Successful delivery of AI projects.
● Expertise in working with Monolithic, Hybrid, and Microservice-based architecture using various AWS services such as Lambda, API Gateway, RDS, EC2, IAM, and Cloudwatch.
● Worked with serverless technologies like AWS Lambda and GCP FireBase functions for custom solutions.
● Hands-on experience working with the Software Development Life Cycle (SDLC) & Agile
methodology, like managing the sprint, release, and deliverables, monitoring the teams'
Performance and resolving issues that hinder the team’s work.
● Nice to have hands-on experience working with Generative AI with RAG-based applications and fine-tuning models like OpenAI and open-source models Phi-3.5, LLaMa, etc.
Worked with different RAG strategies to improve the accuracy of AI-powered applications.
● Expert in developing Applications with PHP, Node.Js/Nest.Js, React, Microservices, RestAPIs, Python etc.
● Hands-on experience working with SQL/Document databases such as MySQL, PostgreSQL, MongoDB, and DocDB.
● Good knowledge of developing the user Interface using frontend technologies such as React, JavaScript, and jQuery.
● Nice to have experience with RAG evaluation frameworks like Langchain Langsmith, ragas, etc.,
● Ability to quickly adapt to new technologies and concepts.