AI Engineer with 3+ years in AI/ML & Data
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Innovation-driven Machine Learning Engineer with an MSc in Data Analytics and 3+ years of experience building scalable AI-powered applications and automated data pipelines. Expert in deep learning algorithms, neural network architectures, and LLM orchestration (Claude, OpenAI API). Proven ability to research emerging AI technologies, optimize RAG (Retrieval-Augmented Generation) pipelines, and deploy robust, production-ready Generative AI solutions in fast-paced fintech environments.
Dublin Business School
MSc · Data Analytics
August 1, 2023 – June 30, 2024
SRM University
BTech · Computer Science (Data Science)
August 1, 2018 – June 30, 2022
Covalen (Client: AIB)
AI & Operations Analyst (Fintech)
August 1, 2025 – Present
Limerick, County Limerick, Ireland
Itelligence InfoTech
AI Automation & Data Engineer
December 1, 2022 – December 1, 2024
India
HiCounselor
Software Developer & QA Automation Engineer
August 1, 2022 – December 1, 2022
San Francisco, California, United States
Generative AI: RAG Pipeline for Document Triage
June 2, 2026 – Present
Designed a RAG pipeline utilizing vector databases to retrieve and synthesize metadata from unstructured logs, achieving 95% triage accuracy.
Neural Network Classifier for System Logs
June 2, 2026 – Present
Architected a deep learning classifier using PyTorch to detect system anomalies, optimizing GPU performance for distributed training clusters.
IBM TechXchange: Open Source LLMs
IBM
June 1, 2026 – Present
AWS Solutions Architecture
AWS
June 1, 2026 – Present
SQL for Data Science
Unknown
June 1, 2026 – Present
Databricks Certified Data Engineer Professional
Databricks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic research and industry applications in fintech, demonstrates adaptability and a broad interest in AI applications. Their experience with both established companies and client-based work (Covalen) indicates a capacity to work in various operational models. The certifications in Databricks, AWS, and IBM LLMs show a proactive approach to continuous learning and skill development, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's experience in client-facing roles (Itelligence InfoTech) and mentoring developers suggests strong collaboration and communication skills. Their work in fintech environments implies an understanding of regulated industries and attention to detail. The project descriptions highlight problem-solving and innovation.