I am a passionate and experienced data scientist and software engineer specialized in AI and machine learning with a strong background in computer science. I have led AI-driven projects, including large language model implementations and image processing systems, improving operational efficiency and accuracy in healthcare and satellite imagery. With advanced skills in Python, deep learning frameworks, and cloud technologies, I enjoy building innovative solutions that solve real-world problems efficiently. Currently based in Dallas, Texas, I am open to relocation and eager to contribute my expertise in AI, machine learning, and software development to impactful projects. My professional journey includes impactful roles in research institutions, international organizations, and telecommunications, embracing the latest technologies like GPT, TensorFlow, and Azure to deliver high-quality AI solutions.

ADHITHYA KIRAN

I am a passionate and experienced data scientist and software engineer specialized in AI and machine learning with a strong background in computer science. I have led AI-driven projects, including large language model implementations and image processing systems, improving operational efficiency and accuracy in healthcare and satellite imagery. With advanced skills in Python, deep learning frameworks, and cloud technologies, I enjoy building innovative solutions that solve real-world problems efficiently. Currently based in Dallas, Texas, I am open to relocation and eager to contribute my expertise in AI, machine learning, and software development to impactful projects. My professional journey includes impactful roles in research institutions, international organizations, and telecommunications, embracing the latest technologies like GPT, TensorFlow, and Azure to deliver high-quality AI solutions.

Available to hire

I am a passionate and experienced data scientist and software engineer specialized in AI and machine learning with a strong background in computer science. I have led AI-driven projects, including large language model implementations and image processing systems, improving operational efficiency and accuracy in healthcare and satellite imagery. With advanced skills in Python, deep learning frameworks, and cloud technologies, I enjoy building innovative solutions that solve real-world problems efficiently.

Currently based in Dallas, Texas, I am open to relocation and eager to contribute my expertise in AI, machine learning, and software development to impactful projects. My professional journey includes impactful roles in research institutions, international organizations, and telecommunications, embracing the latest technologies like GPT, TensorFlow, and Azure to deliver high-quality AI solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Afar
Advanced
Javanese
Advanced
Amharic
Advanced

Work Experience

Senior Research and Development Software Engineer at The Developing Brain Institute, Children's National Hospital
January 1, 2024 - Present
Led the development and deployment of Retrieval-Augmented Generation (RAG) based large language model for policy and procedure document search, reducing manual lookup time by 70% and enhancing staff response accuracy. Engineered deep learning models for 3D brain image segmentation of infants, cutting processing time from 3 hours to 6 minutes. Designed machine learning models for automatic quality assessment of fetal MRI brain images using Grad-CAM and CNN. Developed generative AI models using Variational Autoencoders to identify and mitigate artifacts in noisy 3D brain MRI images.
Short Term Consultant – Data Scientist at The World Bank
December 31, 2023 - August 22, 2025
Implemented AI-based image enhancement using RCAN deep learning model for ESA's Sentinel-2 imagery, doubling resolution and significantly reducing costs. Executed pan-sharpening of Sentinel-2 images with PlanetScope satellite data utilizing the À Trous Wavelet Algorithm.
Data Analyst Intern at United Nations
July 31, 2023 - August 22, 2025
Automated data extraction from UN databases by developing and deploying a Python application in AWS cloud, reducing processing time by 60%. Led development of advanced machine learning models to forecast funding commitments for projects in Africa.
Software Developer at The George Washington University
July 31, 2023 - August 22, 2025
Created a cutting-edge web application enabling researchers to extract project data from social media platforms using Python, Django, REST API, Bootstrap, SQL, JavaScript, RabbitMQ, CSS, and Docker.
Data Scientist at The George Washington University
May 31, 2022 - August 22, 2025
Developed machine learning models to analyze misinformation spread and detect fake/bot accounts on social media using Python, Tweepy, and NLP techniques with LLMs. Created algorithms assessing fraudulent Twitter profiles, built multi-label text classifiers with BERT achieving 87% accuracy, significantly reducing manual classification time.
Software Developer at Ericsson
January 31, 2022 - August 22, 2025
Developed and deployed telecom provisioning logic and RESTful APIs using Java, Docker, and Kubernetes. Led test automation reducing testing time significantly, integrated multiple nodes, resolved customer service requests, developed performance-critical modules in C/C++ enhancing throughput and reducing latency in real-time activation paths.
Senior Research and Development Software Engineer at The Developing Brain Institute, Children's National Hospital
January 1, 2024 - Present
Led development and deployment of Retrieval-Augmented Generation based large language model for document search using GPT-4 and Azure Cloud, reducing manual lookup time by 70% and improving response accuracy. Engineered deep learning models including 3D U-Net for infant brain segmentation, reducing processing time from 3 hours to 6 minutes. Designed ML models for automatic quality assessment of fetal MRI images using Grad-CAM and CNN. Built generative AI solutions with Variational Autoencoders to identify and mitigate artifacts in brain MRI images.
Short Term Consultant – Data Scientist at The World Bank
December 31, 2023 - August 22, 2025
Implemented AI-based image enhancement with RCAN deep learning model for ESA's Sentinel-2 imagery, doubling resolution and reducing costs. Executed pan-sharpening of Sentinel-2 and PlanetScope Satellite imagery using À Trous Wavelet Algorithm for superior image fusion.
Data Analyst Intern at United Nations
July 31, 2023 - August 22, 2025
Automated data extraction from UN databases through a Python application deployed on AWS Cloud, cutting processing time by 60%. Spearheaded development of machine learning models to forecast funding commitments for projects in Africa.
Software Developer at The George Washington University
July 31, 2023 - August 22, 2025
Developed a web application to empower researchers to extract social media project data using Python, Django, REST API, Bootstrap, and Docker. Built robust ML models analyzing misinformation and detecting fake/bot accounts on social media using Python, Tweepy, and LLMs. Created optimized scripts for data extraction and multi-label text classification neural networks achieving 87% accuracy, drastically reducing manual classification hours.
Data Scientist at The George Washington University
May 31, 2022 - August 22, 2025
Developed and deployed machine learning models using Python for social media misinformation analysis, bot detection, and sentiment analysis. Utilized Neo4j, NoSQL, and SQL databases for interconnected user network mapping and efficient data management. Built BERT-based multi-label text classifiers for review categorization.
Software Developer at Ericsson
January 31, 2022 - August 22, 2025
Developed telecom provisioning logic and RESTful APIs on Ericsson's EDA platform using Java, Docker, and Kubernetes. Led test automation reducing test time from 30+ hours to 3 hours, integrated over 20 nodes, and resolved numerous CSR issues delivering 500+ use cases. Developed performance-critical components in C/C++ using efficient data structures and multithreading to interface with legacy systems, enhancing real-time activation throughput and reducing latency.
Senior Research and Development Software Engineer at The Developing Brain Institute, Children's National Hospital
January 1, 2024 - Present
Led development and deployment of Retrieval-Augmented Generation (RAG) based large language model for document search using GPT-4 and Azure Cloud, reducing manual lookup time by 70% and improving staff response accuracy. Engineered deep learning model for segmenting 3D brain images of infants, reducing processing from 3 hours to 6 minutes using 3D U-Net and TensorFlow. Designed machine learning models for quality assessment of fetal MRI images and built generative AI models with variational autoencoders to mitigate artifacts in noisy 3D brain MRI images.
Short Term Consultant – Data Scientist at The World Bank
December 31, 2023 - August 22, 2025
Implemented AI-based image enhancement using RCAN deep learning model for ESA's Sentinel-2 imagery, doubling resolution and significantly reducing costs. Executed pan-sharpening of Sentinel-2 images with PlanetScope satellite data utilizing the À Trous Wavelet Algorithm.
Data Analyst Intern at United Nations
July 31, 2023 - August 22, 2025
Automated data extraction from UN databases with Python application deployed on AWS, reducing processing time by 60%. Developed advanced machine learning models to forecast funding commitments for projects in Africa.
Software Developer at The George Washington University
July 31, 2023 - August 22, 2025
Created a web application enabling researchers to extract project data from social media using Python, Django, REST API, and Docker. Developed machine learning models to analyze misinformation on social media, including detection of fake/bot accounts with LLMs such as GPT-3, achieving a multilabel text classifier with 87% accuracy that reduced manual classification time drastically.
Data Scientist at The George Washington University
May 31, 2022 - August 22, 2025
Developed machine learning pipelines and NLP models using Python, Tweepy, Pandas, and Selenium for misinformation analysis and sentiment classification on social media platforms. Employed Neo4j and NoSQL mapping and SQL for database management.
Software Developer at Ericsson
January 31, 2022 - August 22, 2025
Developed and deployed telecom provisioning logic and RESTful APIs using Java, Docker, and Kubernetes. Led test automation reducing testing time from over 30 hours to 3 hours, integrated 20+ nodes, resolved customer service issues, and delivered 500+ use cases through cross-team collaboration. Developed performance-critical components in C/C++ using memory-efficient data structures and multithreading to interface with legacy systems, improving throughput and reducing latency.
Senior Research and Development Software Engineer at The Developing Brain Institute, Children's National Hospital
January 1, 2024 - Present
Led the development and deployment of a retrieval-augmented generation based large language model (LLM) for policy and procedure document searching, reducing manual document lookup time by 70% and improving staff response accuracy. Engineered AI-based deep learning models to segment 3D brain images of infants, cutting processing time from 3 hours to 6 minutes. Designed machine learning models for fetal MRI brain image quality assessment and built generative AI models to detect and mitigate artifacts in noisy 3D brain MRI images.
Short Term Consultant – Data Scientist at The World Bank
December 1, 2023 - August 22, 2025
Implemented AI-based image enhancement using RCAN deep learning model for enhancing Sentinel-2 satellite imagery resolution by 2x, significantly reducing costs. Executed pan-sharpening of Sentinel-2 with PlanetScope Satellite Imagery using À Trous Wavelet Algorithm.
Data Analyst Intern at United Nations
July 1, 2023 - August 22, 2025
Automated data extraction from the UN database with a Python application deployed on AWS Cloud, reducing processing time by 60%. Led the development of machine learning models to forecast funding commitments for projects in Africa.
Software Developer at The George Washington University
July 1, 2023 - August 22, 2025
Developed a web application to empower researchers to extract social media data for projects using Python, Django, REST API, Bootstrap, SQL, JavaScript, RabbitMQ, CSS, and Docker. Developed ML models and pipelines to detect misinformation and classify social media profiles, built NLP classifiers achieving high accuracy, and reduced manual classification time drastically.
Data Scientist at The George Washington University
May 1, 2022 - August 22, 2025
Developed machine learning models analyzing misinformation spread and fake/bot account detection on social media using Python, Tweepy, Pandas, Selenium, Neo4j, NoSQL, and LLMs (GPT-3). Created algorithms for Twitter profile authenticity and built multi-label text classifiers and sentiment analysis models, improving classification efficiency.
Software Developer at Ericsson
January 1, 2022 - August 22, 2025
Developed and deployed telecom provisioning logic and RESTful APIs on Ericsson’s EDA using Java, Docker, and Kubernetes, automating tests and integrating multiple nodes. Developed performance-critical components in C/C++ using multithreading and optimized data structures to enhance throughput and reduce latency in real-time activation paths.

Education

Master of Science in Data Science at The George Washington University
January 11, 2030 - December 1, 2023
Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham University
January 11, 2030 - June 1, 2019
Master of Science in Data Science at The George Washington University
January 11, 2030 - December 1, 2023
Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham University
June 1, 2015 - June 1, 2019
Master of Science in Data Science at The George Washington University
August 1, 2022 - December 1, 2023
Bachelor of Technology in Computer Science and Engineering at Amrita Vishwa Vidyapeetham University
August 1, 2015 - June 1, 2019
Master of Science at The George Washington University
January 11, 2030 - December 1, 2023
Bachelor of Technology at Amrita Vishwa Vidyapeetham University
January 11, 2030 - June 1, 2019

Qualifications

Certified AI Professional (NIELIT, Gov. of India)
January 11, 2030 - August 22, 2025
AI for Telecom (Ericsson)
January 11, 2030 - August 22, 2025
LeetCode 100 days Badge - 22 (for 7%) in Python
January 11, 2030 - August 22, 2025
Certified AI Professional (NIELIT, Government of India)
January 11, 2030 - August 22, 2025
AI for Telecom (Ericsson)
January 11, 2030 - August 22, 2025
LeetCode 100 days Badge - 22 (Top 7% in Python)
January 11, 2030 - August 22, 2025
Certified AI Professional (NIELIT, Gov. of India)
January 11, 2030 - August 22, 2025
AI for Telecom (Ericsson)
January 11, 2030 - August 22, 2025
LeetCode 100 days Badge - 22 (for 7%) in Python
January 1, 2022 - August 22, 2025
Certified AI Professional (NIELIT, Gov. of India)
January 11, 2030 - August 22, 2025
AI for Telecom (Ericsson)
January 11, 2030 - August 22, 2025
LeetCode 100 days Badge - 22 (for top 7% in Python)
January 11, 2030 - August 22, 2025

Industry Experience

Healthcare, Government, Education, Financial Services, Software & Internet, Non-Profit Organization, Telecommunications

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more