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Senior AI Engineer with 5+ years in distributed microservices, cloud-native systems, and LLM/RAG pip
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Assessing your cultural and operational fit
Backend + AI/ML Engineer with 4+ years of experience building distributed micro services, cloud-native systems, and LLM/RAG automation pipelines, including 1 year of hands-on experience in MLOps. Skilled in Java, Spring Boot, AWS, vector DB search, CI/CD, observability, and scalable fintech/healthcare platforms.
BIT Mesra
B.E. · Computer Science
August 1, 2020 – Present
Surendranath Centenary School
12th (Science)
N/A – Present
Athenahealth
Member of Technical Staff (MTS)
May 1, 2025 – Present
India
Mindgate Solutions
Software Developer
December 1, 2023 – April 1, 2025
India
Tata Consultancy Services
Java Developer
May 1, 2023 – November 1, 2023
India
Deloitte Consulting
Application Developer
January 1, 2022 – January 1, 2023
India
Knorex
Software Engineer
February 1, 2021 – December 1, 2021
India
Clickstream Analytics
June 19, 2026 – Present
Designed scalable ingestion & analytics using Vert.x + AWS.
AI Document Prioritization (LLM/RAG)
June 19, 2026 – Present
Built semantic classification pipelines reducing review time by 50%.
Cultural Fit Analysis
The candidate has worked across various industries including healthcare, fintech, and advertising, demonstrating adaptability and exposure to different business contexts. The involvement in both personal projects (Clickstream Analytics, AI Document Prioritization) and professional roles showcases initiative and a continuous learning mindset. The breadth of skills listed (Backend, Cloud, AI/ML, Monitoring, DevOps/DataOps, DB) suggests a well-rounded technical professional who can integrate into diverse technical teams and contribute across different layers of a system. The focus on AI/ML and platform engineering aligns well with a 'Senior AI Platform Engineer' role.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on problem-solving and efficiency improvements, evidenced by quantifiable results in various roles (e.g., reducing review time by 50%, improving claim prioritization accuracy by 30%, reducing manual review load by 40%). This suggests a results-oriented approach and a proactive attitude towards operational excellence. The diverse project and company experience also points to adaptability and a willingness to tackle different technical challenges.