Abhijith Sai Thirunahari-AI and AWS Developer
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Experience
AI and AWS Developer
FannieMae
- Architected end-to-end credit risk pipelines by orchestrating Airflow ETLs and training LSTMs/Transformers to predict default and prepayment speeds on MBS portfolios.
- Developed Deep Learning NLP solutions using BERT and LayoutLM for document processing, leveraging Transfer Learning and custom PyTorch loss functions to automate underwriting.
- Optimized R&D lifecycles through Bayesian tuning, Batch Normalization, and MLflow tracking to ensure robust model performance throughout volatile mortgage market cycles.
- Productionized scalable MLOps infrastructure via Docker and INT8 Quantization, deploying low-latency FastAPI microservices on AWS SageMaker with automated CI/CD pipelines.
- Ensured regulatory compliance by integrating SHAP/LIME for explainability and establishing real-time Data Drift monitoring to meet strict FHFA and Fair Lending standards.
Java and AWS Developer
The College Board
- Directed the large-scale migration of customer marketing data from legacy Epsilon systems to Salesforce Marketing Cloud, ensuring data stayed accurate using Java and AWS.
- Developed and managed 15 automated data pipelines using AWS Glue and EMR to extract and move high volumes of data from Oracle database to the SFMC cloud.
- Built backend integration services using Java to link internal company databases with modern cloud platforms, improving overall system coordination.
- Simplified server management by using AWS Lambda and CloudFormation (CFT) to automate repetitive data tasks and reduce manual maintenance.
- Utilized AWS Athena to run fast queries on the massive dataframes stores in cloud, to monitor data quality in real-time.
Industry Experience
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Experienced in Banking and Finance and Education.
Business Area Experience
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Experienced in Information Technology, Finance, Research and Development, and Business Intelligence.
Summary
AI Engineer with over 5+ years of experience delivering high-performance machine learning models and cloud-native architectures. Currently pursuing a Master’s in Mathematics at TU Bergakademie Freiberg to combine rigorous analytical foundations with advanced computational modeling. I specialize in the full lifecycle of AI development, from deep neural architectures including transformers and CNNs to complex data analysis and agentic system orchestration.
I have experience of automating enterprise-level workflows and bridging the gap between theoretical research and production-ready solutions.
Skills
- Programming Languages: Python, Java, C++, Sql, R
- Machine Learning: Sci-Kit Learn, Tensorflow, Keras, Pytorch, Fast.Ai, Jax
- Mathematical Frameworks: Petsc4py, Scikit-Fem, Neuralpde.Jl
- Parallel Computing: Openmp, Mpi, Cuda C++, Gpu Parallelization, Distributed Computing
- Data Analytics: Pandas, Numpy, Dplyr, Tidr, Data.Table
- Big Data: Hadoop, Spark, Hive, Sqoop, Mapreduce
- Visualization: Matplotlib, Seaborn, Ggplot2, Tableau, D3.Js
- Large Language Models: Multi-Agent Orchestration, Rag, Prompt Engineering, Semantic Search, Low-Rank Adaptation, Semi Supervised Learning
- Generative Ai & Deep Learning: Transformers (Vision, Music, Diffusion, Attention Mechanism), State Space Models, Variational Encoders, Pinns, Model Pruning, Quantization
- Cloud Computing: Aws, Docker, Microsoft Azure, Gcp, Kubernetes
- Agentic Ai: Hypothesis Testing, Bayesian Inference, Regression Analysis, Time Series Analysis
Languages
Education
Technische Universität Bergakademie Freiberg
Masters in Mathematics in Data and Resource Sciences · Mathematics in Data and Resource Sciences · Freiberg, Germany
Marist College
Masters in Information System Management · Information System Management · Poughkeepsie, United States
SR Engineering College
Bachelors in Electronics and Communication Engineering · Electronics and Communication Engineering · Warangal, India
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Experience
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