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Click here or scroll down to respond to this candidate Candidate's Name
Phone: PHONE NUMBER AVAILABLE Washington DC
Email: EMAIL AVAILABLE LinkedIn: https://LINKEDIN LINK AVAILABLE
TECHNICAL SKILLS
Languages: Python, PySpark, SQL, Javascript, Java, R, Linux, HTML
Cloud: AWS, Azure, Databricks
Databases: Teradata, Snowflake, AWS Redshift, MySQL, MS SQL Server, MongoDB, Neo4j, PostgreSQL
Machine Learning: Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Pytorch, CUDA, Tensorflow
DevOps: Git, Github, Jenkins, Docker
Tools: Word, Excel, OneNote, PowerPoint, Outlook, Tableau, Jira
RELEVANT WORK EXPERIENCE
AI/ML Engineer Intern June 2024 - August 2024
Infotrend, Washington, DC
Developed and deployed a real-time image processing application using Dockge, integrating Ollama for dynamic scaling and
Stable Diffusion with Open WebUI for advanced image synthesis, secured with VPS and Cloudflare Zero Trust.
Enhanced the application s capacity for secure, efficient handling of high-volume, real-time data, significantly boosting
user engagement and strengthening operational security.
Engineered applications in Computer Vision, Machine Learning, and NLP using Python, TensorFlow, PyTorch, and OpenCV,
improving model accuracy by integrating advanced techniques.
Led a targeted research initiative that analyzed the latest advancements in deep learning and reinforcement learning, directly
applying breakthrough techniques to optimize existing algorithms, which resulted in a 15% increase in predictive accuracy and
model efficiency across project deliverables.
Collaborated with cross-functional teams to ensure seamless integration of AI technologies into user-centric applications.
Research Assistant May 2024 - August 2024
George Washington Institute of Public Policy
Spearheaded the development of a novel analytics application utilizing the LAiSER open-source library to dynamically extract
and reorganize skill data from NLx, enhancing operational capabilities for workforce analysis.
Designed and implemented a scalable, automated tool for systematic job data analysis across multiple Texas industry sectors,
boosting efficiency and consistency in data handling by 40%.
Delivered a meticulously curated dataset, leading to the deployment of advanced, unbiased skill insight tools that supported critical
policy-making decisions and strategic initiatives.
Executive Cloud and Data Engineer April 2023 - July 2023
InfoCepts, Chennai, India
Orchestrated the integration of Flask-Restx API with Azure SQL Server and AI analytics, enhancing data processes which boosted
productivity by 50% and reduced operational costs.
Standardized version control processes using Bitbucket, achieving a 20% reduction in code conflicts and improving code col-
laboration, while leading project management with Agile to increase project efficiency by 15%.
Supervised the development and implementation of three software products, executing unit testing and crafting technical documen-
tation that enhanced coding best practices and coordinated bug bash sessions.
Associate Cloud and Data Engineer September 2021 - April 2023
InfoCepts, Chennai, India
Led a transformative project to modernize the Order Management System on AWS, delivering a 25% reduction in manual efforts
and significantly enhancing operational efficiency.
Developed an Automated Quality Analyzer on Spark, improving data quality assessment processes and performance by 30%, by
automating the identification, monitoring, and flagging of data inconsistencies.
Implemented automated ETL workflows, resulting in a 50% decrease in manual efforts during the migration from Teradata to
Snowflake, ensuring smooth data transfer and cost savings.
Intern, Cloud and Data Engineer March 2021 - August 2021
InfoCepts, Chennai, Tamil Nadu
Engineered a high-performance ETL tool using Hbase, Hive, Kafka, YARN, Hadoop, MapReduce, PySpark, and Unix,
resulting in a 40% reduction in data processing time.
Contributed to a cloud migration project, implementing ETL migration strategies, achieved streamlined data processing, resulting
in a 15% increase in handling loads.
TECHNICAL PROJECTS
Enhancing Park Safety Through Data-Driven Analysis in NYC Parks January 2024 - March 2024
Utilized Python and Tableau to analyze NYC park crime data from 2015 to 2023, identifying trends, relationships between park size
and crime rates. Provided data-driven insights, recommendations to enhance park safety and community well-being in New York City.
NCAA Tournament Prediction ITC & GWU AI/ML Bracket Challenge January 2024 - March 2024
Conducted exploratory analysis on 21 years of NCAA data, unveiling trends with advanced visualizations.
Pioneered advanced analytical methodologies, significantly enhancing model accuracy, outperforming traditional prediction systems.
Engineered a predictive model XGBoost with a Brier score of 0.175866, achieving top 2.2% ranking in national AI challenge skillfully
navigating feature selection and model optimization.
ACCOMPLISHMENTS
Conceptualized and developed an innovative product, leading to recognition as the First Runner-up at InfoCepts for pioneering
content at E360 booth.
Triumphed as winners of the ITC & GWU AI/ML Bracket Challenge with an exceptional overall score of 1370, through strategic
data-driven methodologies and innovative application of machine learning algorithms.
EDUCATION
MS in Data Science The George Washington University August 2023 - May 2025
BTech in Computer Science SRM Institute of Science and Technology July 2017 - June 2021
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