AI Engineer at Aissential LLC

Designed and built Odin, an AI-powered learning companion, architecting a modular multi-agent system with Python, REST APIs, and microservices to deliver scalable, context-aware academic guidance at university scale. Integrated Odin into LMS workflows using AWS services and compliance frameworks, enabling seamless adoption by administrators and transforming delivery of academic support.

Graduate Research Assistant at Boston University

Engineered end-to-end data pipelines with Python, SQL, and PySpark to merge large-scale datasets, uncovering a 25% disparity in pharmacy access and improving processing efficiency by 40%. Developed predictive models with Scikit-learn and XGBoost, applying feature engineering and deployment-ready workflows to improve model accuracy by 20% for healthcare accessibility analysis.

AI Research and Innovation Intern at getitAI

Optimized an AI-driven sales agent platform by refining real-time interactions with JavaScript and Flask/FastAPI, improving response accuracy by 30% and reducing latency by 15%. Architected interactive React dashboards backed by SQL databases and REST APIs, enabling real-time monitoring of 1M+ customer interaction records monthly.

Graduate Teaching Assistant at Boston University

Led lab sessions and mentored 100+ students in Python, backend development, and data engineering concepts, focusing on building APIs and predictive models for real-world applications.

Data Analyst Intern at Pidilite Industries

Developed an OCR-powered document processing tool using Python, boosting procurement efficiency by 40% and automating large-scale data extraction. Built interactive dashboards with SQL and Tableau to visualize sales trends, uncovering revenue drivers that contributed to a 15% boost in customer loyalty.

AI Research and Innovation Intern at Intel

Leveraged Python and deep learning frameworks to analyze SARS-CoV-2 replication mechanisms, uncovering potential drug targets and enhancing viral dynamics research simulations.

AI Engineer at Aissential LLC

Designed and built Odin, an AI-powered learning companion, architecting a modular multi-agent system with Python, REST APIs, and microservices to deliver scalable, context-aware academic guidance at university scale. Integrated Odin into LMS workflows using AWS services and compliance frameworks to enable seamless adoption by administrators and transform the delivery of academic support.

Graduate Research Assistant at Boston University

Engineered end-to-end data pipelines with Python, SQL, and PySpark to merge large-scale datasets, uncovering a 25% disparity in pharmacy access and improving processing efficiency by 40%. Developed predictive models with Scikit-learn and XGBoost, applying feature engineering and deployment-ready workflows to improve model accuracy by 20% for healthcare accessibility analysis.

AI Research and Innovation Intern at getitAI

Optimized an AI-driven sales agent platform by refining real-time interactions with JavaScript and Flask/FastAPI, improving response accuracy by 30% and reducing latency by 15%. Architected interactive React dashboards backed by SQL databases and REST APIs, enabling real-time monitoring of 1M+ customer interaction records monthly.

Graduate Teaching Assistant at Boston University

Led lab sessions and mentored 100+ students in Python, backend development, and data engineering concepts, focusing on building APIs and predictive models for real-world applications.

Data Analyst Intern at Pidilite Industries

Developed an OCR-powered document processing tool using Python, boosting procurement efficiency by 40% and automating large-scale data extraction from scanned documents. Built interactive dashboards with SQL and Tableau to visualize sales trends and uncover revenue drivers that contributed to a 15% boost in customer loyalty.

AI Research and Innovation Intern at Intel

Leveraged Python and deep learning frameworks to analyze SARS-CoV-2 replication mechanisms, uncovering potential drug targets and enhancing viral dynamics research simulations.

AI Engineer at Aissential LLC

Designed and built Odin, an AI-powered learning companion, architecting a modular multi-agent system with Python, REST APIs, and microservices to deliver scalable, context-aware academic guidance at university scale.

Graduate Research Assistant at Boston University

Engineered end-to-end data pipelines with Python, SQL, and PySpark to merge large-scale datasets, uncovering a 25% disparity in pharmacy access and improving processing efficiency by 40%.

AI Research and Innovation Intern at getitAI

Optimized an AI-driven sales agent platform by refining real-time interactions with JavaScript and Flask/FastAPI, improving response accuracy by 30% and reducing latency by 15%.

Graduate Teaching Assistant at Boston University

Led lab sessions and mentored 100+ students in Python, backend development, and data engineering concepts, focusing on building APIs and predictive models for real-world applications.

Data Analyst Intern at Pidilite Industries

Developed an OCR-powered document processing tool using Python, boosting procurement efficiency by 40% and automating large-scale data extraction from scanned documents.

AI Research and Innovation Intern at Intel

Leveraged Python and deep learning frameworks to analyze SARS-CoV-2 replication mechanisms, uncovering potential drug targets and enhancing viral dynamics research simulations.

AI Engineer at Aissential LLC

Engineered Odin, an AI-powered university-scale learning companion, by architecting a modular multi-agent system in Lang-Graph with dynamic control flow, agent handoffs, and state persistence, ensuring seamless interactions. Integrated OpenAI/Claude LLMs for context-aware reasoning and utilized Pinecone/MongoDB for vectorized semantic retrieval, embedding institutional compliance at the orchestration layer for enhanced data security and efficiency.

Graduate Research Assistant at Boston University

Engineered end-to-end data pipelines using Python, Pandas, and PySpark to merge mobility and census data, uncovering a 25% disparity in pharmacy access across urban zones and improving data processing efficiency by 40%. Built predictive models using Scikit-learn and XGBoost to quantify healthcare accessibility, applying feature engineering and hyperparameter tuning to improve model accuracy by 20% and inform targeted interventions.

AI Research and Innovation Intern at getitAI

Optimized an AI-driven sales agent platform by refining real-time customer interactions with LLM-based intent recognition systems and TensorFlow, enhancing response accuracy by 30% and reducing latency by 15%. Architected interactive React dashboards utilizing Flask and FastAPI APIs for real-time monitoring of customer interactions, integrating SQL for data retrieval, and enabling analysis of 1M data points monthly.

Graduate Teaching Assistant at Boston University

Led lab sessions and mentored 100+ students in Python, data science, and machine learning concepts, focusing on building data pipelines and predictive models with real-world applications. Orchestrated comprehensive lectures covering deep learning, NLP, and time-series analysis, equipping 100+ students with practical skills using TensorFlow and Scikit-learn, achieving 90% lab participation.

Data Analyst Intern at Pidilite Industries

Developed an OCR-powered document processing tool using Python and OpenCV, boosting procurement efficiency by 40% and automating data extraction from scanned documents. Built interactive Tableau dashboards for visualizing sale trends and conducted SQL analyses to uncover revenue drivers, which contributed to a 15% boost in customer loyalty and engagement.

AI Engineer at Aissential LLC

Designed and built Odin, an AI-powered learning companion, architecting a modular multi-agent system with Python, REST APIs, and microservices to deliver scalable, context-aware academic guidance at university scale. Integrated Odin into LMS workflows using AWS services and compliance frameworks, enabling seamless adoption by administrators and transforming delivery of academic support.

Graduate Research Assistant at Boston University

Engineered end-to-end data pipelines with Python, SQL, and PySpark to merge large-scale datasets, uncovering a 25% disparity in pharmacy access and improving processing efficiency by 40%. Developed predictive models with Scikit-learn and XGBoost, applying feature engineering and deployment-ready workflows to improve model accuracy by 20% for healthcare accessibility analysis.

AI Research and Innovation Intern at getitAI

Optimized an AI-driven sales agent platform by refining real-time interactions with JavaScript and Flask/FastAPI, improving response accuracy by 30% and reducing latency by 15%. Architected interactive React dashboards backed by SQL databases and REST APIs, enabling real-time monitoring of 1M+ customer interaction records monthly.

Graduate Teaching Assistant at Boston University

Led lab sessions and mentored 100+ students in Python, backend development, and data engineering concepts, focusing on building APIs and predictive models for real-world applications.

Data Analyst Intern at Pidilite Industries

Developed an OCR-powered document processing tool using Python, boosting procurement efficiency by 40% and automating large-scale data extraction from scanned documents. Built interactive dashboards with SQL and Tableau to visualize sales trends, uncovering revenue drivers that contributed to a 15% boost in customer loyalty.