Available to hire
I am Sushanth Reddy Gitta, an AI Engineer with 4+ years in designing, developing, and deploying ML and generative AI solutions for enterprise environments. I enjoy translating complex business needs into scalable prototypes and production-ready AI systems, leveraging Python, TensorFlow, PyTorch, and cloud platforms to empower product teams.
In my roles at Microsoft and Capgemini, I’ve built end-to-end AI pipelines, integrated ML features into applications, and collaborated in agile settings to deliver impactful AI capabilities. I’m passionate about continuous learning, mentoring teams, and advancing responsible AI adoption across stakeholders.
Skills
Work Experience
AI Engineer at Microsoft
July 1, 2024 - PresentBuilt, trained, evaluated, and deployed machine learning and generative AI models using Python, TensorFlow, and PyTorch to support enterprise AI initiatives in an AI Center of Excellence environment. Designed scalable data preparation, model training, and inference pipelines enabling rapid experimentation and reliable production deployments. Developed AI-powered APIs and services to integrate ML and LLM capabilities into existing business applications and workflows. Collaborated with product managers, AI leads, and engineering teams to identify high-impact AI opportunities and embed AI features into enterprise platforms. Monitored model performance and iteratively improved systems through retraining and fine-tuning. Leveraged cloud-based AI/ML services (AWS SageMaker, Azure ML, Vertex AI) to scale training, deployment, and inference. Contributed to technical documentation and AI standards. Worked in agile teams, rapidly prototyping solutions and iterating based on feedback and evolving
AI Engineer at Capgemini
February 1, 2020 - July 1, 2022Designed and deployed ML and generative AI solutions using Python and modern ML frameworks, translating business requirements into working AI prototypes and production systems. Built end-to-end ETL and AI pipelines for data ingestion, preprocessing, model training, evaluation, and inference. Developed and integrated AI services and APIs to embed predictive and NLP capabilities into enterprise applications. Applied LLMs and NLP techniques to real-world use cases, experimenting with emerging tools and architectures to enhance solution quality. Utilized cloud-based AI platforms including AWS SageMaker and Azure ML to support scalable model training and deployment. Collaborated with cross-functional engineering and product teams in agile delivery environments, supporting rapid iteration and continuous improvement. Monitored deployed models and performed performance tuning, retraining, and fine-tuning to maintain accuracy and reliability over time. Authored technical documentation and imple
Education
Master of Science in Machine Learning at Stevens Institute of Technology
September 1, 2022 - May 1, 2024Qualifications
Industry Experience
Software & Internet, Professional Services
Skills
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