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) & Agilemethodology, 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.