Experienced AI Engineer with a decade in software development, specializing in end-to-end design and testing. Expertise in Python and SQL, with a focus on system scalability and software engineering principles. Passionate about machine learning technologies, demonstrating proficiency in natural language processing.
Overview
12
12
years of professional experience
Work History
Senior AI Engineer
Adherent ( Previously Cnr)
Cork
10.2025 - Current
Scaled document parsing to 40,000 using Karpenter and Kubernetes, achieving 400
documents per hour.
Implemented Llama extract, improving data processing efficiency for
enhanced operational performance.
Optimized workflows for downstream systems through streamlined document
management.
Developed logic gates for AI decision systems, ensuring compliance with legal
frameworks.
Data and AI Engineer
Learnosity
08.2024 - Current
Implemented scalable AI solutions in fast-paced startup, aligning technical development with business objectives.
Developed and deployed retrieval-augmented generation solution, improving model accuracy by 20%.
Integrated OpenAI Whisper for automated speech-to-text processing, enhancing audio and video accessibility.
Optimized API performance using Python and FastAPI, demonstrating strong instincts for API design.
Designed data-driven UIs with React and TypeScript, utilizing hooks for superior user experience.
Created robust front-end solutions focused on maintainability and performance efficiency.
Oversaw systems lifecycle management, ensuring seamless operation from concept to production.
AI Engineer
AI labs
11.2020 - 08.2024
Developed RAG solutions with LLM for chatbots and tokenization processes, utilizing Databricks and overseeing cloud infrastructure.
Created job status scheduler with Apache Airflow, Fast-API, and AWS to improve operational workflow.
Led development of end-to-end payroll system for Department of Education using PYQT, enhancing performance and reducing release process time.
Python Developer
Bank of America
07.2019 - 05.2020
Led migration of CPM/CTO application from quant team, ensuring compliance deliverables and SLA while addressing upstream data issues, enhancing system efficiency by 15%.
Developed configurable UI and application configuration, enhancing user experience and reducing configuration time by 20%.
Collaborated with quant teams to gather requirements and develop solutions, streamlining project onboarding process and improving efficiency by 10%.
Python Developer
Susquehanna International Group
10.2018 - 03.2019
Generation of back data using Market data framework, singlehandedly created Back trade files for Euronext and Eurex using mdfcython.
Assisted in codebase migration to python 3.6 and implemented singleton pattern in RV Transport, enhancing resource management.
Developed mock-up classes for testing external API and design patterns, improving validation processes.
Machine Learning Researcher
Ambisense Ltd.
11.2017 - 08.2018
Implemented a production based unsupervised learning algorithm, Real time generative based model (RBM-RNN) for emulating distribution and creation of threshold function.
Explored various outlier techniques and their limitations in context of the problem. Consulted with PhD and area experts to gain deeper understanding of hyperparameters and approaches.
Analyzed business problem in Tableau, created dashboards and stories to communicate findings to stakeholders.
Python Developer
Elcom Innovations private limited
02.2016 - 06.2017
Developed web services using Django framework, implementing association rule-based system to categorize equipment sales relationships for enhanced data insights.
Built Django dashboard to present product details and order information, improving visibility for stakeholders.
Development of REST API for company product catalog.
Utilized psycopg2 module to extract and feed data into PostgreSQL, streamlining various CRUD services.
System Engineer
Infosys Technologies Ltd. (Domain of BI)
06.2014 - 02.2016
Developed sqllite3-based cache for auth code and state variable; implemented state caching and scope extensions in Python, improving user experience for end users.
Built SAS reports on customer retention, suspension, renewal, and new orders for Barron and WSJ, providing insights for strategic decision-making.
Created time series model for transactional data to identify account mismatches and low-activity accounts, enabling effective divestment strategies for target accounts (WNG, NBS, UBS).
Completed training in Python for 6 months and received a high performance award.
Education
MSc. - Computer Science (Intelligent System)
Trinity College Dublin
Bachelor of Technology - Electronics and Telecommunication
GGS Indraprastha University
Skills
Django
Ansible
Tableau
Jira
Docker
PyCharm
SQLite
MySQL
PostgreSQL
MongoDB
ggplot2
Cloud computing
Kubernetes
Grafana
Langchain
React
Python Development - Machine Learning Algorithms - AI System Design - Cloud Infrastructure Management - Kubernetes
Timeline
Senior AI Engineer
Adherent ( Previously Cnr)
10.2025 - Current
Data and AI Engineer
Learnosity
08.2024 - Current
AI Engineer
AI labs
11.2020 - 08.2024
Python Developer
Bank of America
07.2019 - 05.2020
Python Developer
Susquehanna International Group
10.2018 - 03.2019
Machine Learning Researcher
Ambisense Ltd.
11.2017 - 08.2018
Python Developer
Elcom Innovations private limited
02.2016 - 06.2017
System Engineer
Infosys Technologies Ltd. (Domain of BI)
06.2014 - 02.2016
MSc. - Computer Science (Intelligent System)
Trinity College Dublin
Bachelor of Technology - Electronics and Telecommunication