# Ambrish Pathak > MS in Data Science @ Stevens | Aviation @ INFORM Software Location: New York City Metropolitan Area, United States Profile: https://flows.cv/ambrish Data Science & AI Expertise: Deep expertise in Data Science, Machine Learning (ML), Big Data Technologies, and Data Engineering. Hands-on experience in data analysis, building and deploying AI models, and delivering AI-driven solutions. Specialized in leveraging cloud technologies (AWS, Azure) to build scalable data pipelines and optimize data workflows. Current Role: Software Engineer (SWE) at INFORM GmbH, focusing on data science and software solutions for the aviation industry. Contributing to high-impact projects using machine learning models and cloud infrastructure to enhance business operations and decision-making. Previous Experience: Former Cloud & Infrastructure Engineer at LTIMindtree, where I optimized cloud infrastructure, automated complex workflows, and scaled cloud solutions for large-scale projects. Expertise in cloud management, infrastructure automation, and CI/CD pipeline development. Certifications: Microsoft Certified: Azure AI Fundamentals Certified in Splunk, Azure Architecture Design, and Ansible. Proficient in cloud platforms (AWS, Azure) and infrastructure management tools. Education: Master of Science in Data Science, Stevens Institute of Technology Bachelor of Science in Information Technology, Thakur College of Engineering and Technology Skills & Technologies: Programming: Python, SQL, Java, R Machine Learning/AI: TensorFlow, Keras, Scikit-learn Big Data: Hadoop, Spark, Kafka Cloud: AWS, Azure, GCP DevOps/Automation: Docker, Kubernetes, Jenkins, Ansible Data Engineering: ETL, Data Pipelines, Data Warehousing Certification : Microsoft Certified: Azure Fundamentals(AZ-900), Microsoft Certified: Azure AI Fundamentals(AI-900) Passion & Goal: Driven by a passion for solving complex, real-world problems using data science and AI. Eager to contribute to innovative projects and leverage my technical expertise to drive business value at scale. Looking Ahead: Actively seeking opportunities in Data Engineering, Machine Learning, and Cloud Infrastructure roles to further develop my skills and contribute to high-impact projects at leading technology companies. ## Work Experience ### Software Engineer @ INFORM GmbH - Optimization Software Jan 2026 – Present | Atlanta, GA ### Software Engineer - Aviation NA Team @ INFORM GmbH - Optimization Software Jan 2023 – Present | Aachen • Ground Ops Optimization: Developed and maintained industry-leading software for Airport Ground Operations, managing complex workflows including gate assignment, baggage handling, and staff rostering. • Full-Stack Engineering: Engineered responsive user interfaces and robust backend APIs that allow airport dispatchers to make rapid, data-driven decisions under extreme time pressure. • Data Integration: Built and managed complex ETL pipelines using SQL and PySpark to ingest flight data (ADS-B, A-CDM) into optimization engines for real-time reporting. • Stakeholder Management: Act as a technical bridge between global airline clients and development teams, ensuring software solutions meet rigorous aviation safety and performance standards. • Mentorship: Conduct code reviews and mentor junior engineers on software design patterns and the nuances of the aviation software lifecycle. ### Graduate Student Assistant - Augmented Intelligence & GenAI @ Stevens Institute of Technology Jan 2024 – Jan 2025 | Hoboken, New Jersey, United States • GenAI Implementation: Supervised the integration of Large Language Models (LLMs) into research workflows, optimizing prompt engineering and model fine-tuning to enhance automated output. • Predictive Modeling & ML: Developed and refined machine learning models using Python (Scikit-learn, PyTorch) to extract insights from complex datasets. • Big Data Engineering: Architected data pipelines within Databricks using PySpark and SQL to process large-scale datasets for high-performance analytics. • Mentorship & Supervision: Guided students in applying statistical methods and AI frameworks, ensuring technical accuracy and best practices in algorithmic development. • Advanced Visualization: Transformed raw data into actionable intelligence by designing interactive dashboards in Power BI and Tableau. • Assisting faculty in managing coursework, grading, and conducting tutorial sessions for graduate-level data science classes. • Supporting lab-based research initiatives involving cloud data pipelines and machine learning prototyping on Azure/AWS ### Senior Software Engineer @ LTIMindtree Jan 2022 – Jan 2023 | Copenhagen, Capital Region of Denmark, Denmark • CI/CD Pipeline Engineering: Architected and maintained Jenkins-based CI/CD pipelines, automating code integration and deployment phases to increase release velocity. • Infrastructure as Code (IaC): Managed and scaled global Linux and Windows environments, utilizing automation to provision storage, memory, and compute resources. • Observability & Monitoring: Developed custom Prometheus and Grafana dashboards to monitor microservices and payment gateways, resulting in a 35% reduction in MTTR. • Database Reliability: Engineered automated backup and recovery workflows for Oracle and MSSQL, ensuring high availability and data persistence across global clusters. • Middleware Optimization: Streamlined the deployment of middleware systems, enforcing ITIL standards while promoting a collaborative DevOps culture to bridge the gap between Dev and Ops teams. ### Software Engineer - Cloud and Infrastructure Services @ LTI - Larsen & Toubro Infotech Jan 2020 – Jan 2022 | Copenhagen, Capital Region of Denmark, Denmark • Monitoring & Observability: Oversee multi-console payment environments using Prometheus, UIM, and Grafana to ensure constant service availability. • Automation: Reduced manual intervention by automating deployments and enforcing a collaborative DevOps culture within ITIL frameworks. • Emergency Response: Manage the lifecycle of Standard and Emergency Changes; act as the primary point of contact for clients and customers during critical outages. • Hybrid Server Administration: Provide L1/L2 troubleshooting for Linux and Windows environments, specifically focusing on resource allocation (CPU/RAM) and storage optimization. • Data Integrity: Support database health by managing backups and expanding storage/datafiles to prevent downtime in high-traffic global environments. ### Associate Software Engineer - CIS @ LTI - Larsen & Toubro Infotech Jan 2019 – Jan 2020 | Bengaluru, Karnataka, India • Engineered multi-vendor infrastructure solutions across Linux and Windows Server environments, focusing on scalability and system uptime. • Managed and optimized relational databases (Oracle, MSSQL), ensuring data integrity and efficient query performance. • Configured Cisco networking protocols and deployed cloud architectures using AWS and Azure to support enterprise-level workloads. • Leveraged Splunk for real-time monitoring and log analysis, enhancing security posture and operational visibility. • Implemented robust storage and backup strategies to mitigate data loss and ensure business continuity. ## Education ### Master of Science - MS in Data Science Stevens Institute of Technology ### Bachelor of Science - BS in Information Technology Thakur College Of Engineering and Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/ambrishnpathak - Portfolio: https://ambrishpathak.github.io/ --- Source: https://flows.cv/ambrish JSON Resume: https://flows.cv/ambrish/resume.json Last updated: 2026-04-13