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Lead Engineer
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About Candidate

Lead Engineer with 9+ years of experience designing and delivering enterprise-scale, cloud-native and AI-driven platforms. Strong background in Generative AI, LLMs, RAG systems, and microservices architecture with proven ownership of end-to-end solution architecture from requirements and design to production deployment and governance. Bringing 4 years of hands-on AI/ML expertise with architecting and developing intelligent systems for global clients. 5 years of experience in mobile application development, specializing in Android and iOS platforms.

Salary
USD
Nationality
india
Looking for Job Title
Lead Engineer
Iqama
Resident

Location

Education

B
Bachelor of Computer science 2016
University of Calicut, India

Work & Experience

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Lead Engineer 2016-08-08
Qburst Technologies

● Architected and led enterprise solutions in Generative AI and NLP platforms, providing technical vision and governance across design, development, and large-scale production deployment for global clients. ● Architected and scaled Java based (Spring Boot) enterprise microservices platforms supporting high-availability, multi-tenant workloads. ● Defined architecture documentation, design standards, and best practices, ensuring maintainability, scalability, and security compliance. ● Delivered production-grade AI chatbot integrating LLMs, and RAG pipelines using AWS. ● Developed a site-traffic forecasting solution leveraging Facebook’s Prophet model. ● Working on building Chatbot in Agentic AI using LangGraph. ● Mentored AI engineers and data scientists, fostering a culture of innovation and technical excellence. ● Designed and developed cross-platform Android and iOS applications using Flutter, successfully deploying them to production. Key Clients: UAE Ministry of Finance (eDirham), Fast Retailing (Japan), Mercedes Benz Research And Development - India, Mercari, Winmore, Malabar Gold & Diamonds.

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Software Engineer - Mobile Application Developer (Onsite Assignment via QBurst) June 2019 - September 2020
Mercedes-Benz Research and Development India, Bangalore, India

● Contributed to the development of Daimler’s Xentry Remote Diagnosis Android application, a tool used by service center technicians to remotely access and analyze vehicle diagnostic data. ● Collaborated directly with MBRDI engineers and multi-vendor teams to align technical implementations with Daimler’s global automotive standards. ● Participated actively in Agile ceremonies—sprint planning, retrospectives, and reviews—ensuring smooth coordination and on-time delivery of releases. ● Acquired in-depth knowledge of connected vehicle communication protocols, diagnostic workflows, and data security requirements within the automotive domain

Skills

AI & Data Platforms Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, LangChain, LangGraph, Hugging Face, Prompt Engineering, Model Fine-tuning, Semantic Search, Vector Databases (OpenSearch, pgvector).
90%
Cloud & Platform Engineering AWS (Bedrock, Lambda, S3, SageMaker, Cloudwatch), GCP (Vertex AI, GKE, BigQuery, Cloud Run, Monitoring), Cloud-native Architecture, Containerization (Docker, Kubernetes), CI/CD, Production Deployments
89%
Enterprise & Solution Architecture Microservices Architecture (Java & Python-based), REST APIs, System Design, Architecture Documentation, Technical Governance, Non-functional Requirements (Scalability, Security, Performance, Reliability)
90%
MLOps & Data Engineering MLflow, Airflow, Data Pipelines, Monitoring
90%

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