Technical Advisor Intern (GenAI) at Scale AI

Built and deployed LLM-powered Text-to-SQL APIs in Python (Jupyter, FastAPI) with NLP pipelines, deployed on Databricks, containerized with Docker and Kubernetes, and orchestrated via GitHub Actions CI/CD, enabling 200+ researchers to query relational databases. Automated ETL workflows with Pandas, NumPy, SQL, PySpark, and Redis and MySQL integrations for scalable data processing. Fine-tuned and evaluated ML models for query understanding, schema linking, feature engineering, EDA, and hyperparameter tuning, achieving 81% execution accuracy on Spider and WikiSQL datasets.

AI Software Engineering Intern at Ampure Charging Systems, Inc

Engineered predictive pipelines with PyTorch LSTMs on AWS SageMaker, integrated into the web App (dev.ampureintelligence.com) using React, Python, Express and PostgreSQL for next-day departure prediction, load optimization, user authentication, and secure start and stop charging, connected via Python and FastAPI OCPP backend for real-time EV telemetry/control. Built large-scale ETL workflows in PySpark, Pandas, NumPy, SQL with Apache Airflow, processing 120+ telemetry records/day into Snowflake. Automated AWS EC2, Lambda, S3 deployments, applied Great Expectations MLOps validation, and created monitoring dashboards (Prometheus) to ensure reliability and reduce incident response time by 20%.

Machine Learning Engineer at Ultimate Scaler Pvt.Ltd

Built AI-driven stock trading & analytics systems with Gradient Boosting, LSTM, and hybrid classifiers (XGBoost, SVM, KNN), improving portfolio returns by 25.5% and reducing false signals by 28%. Designed ETL pipelines in PySpark, Pandas, NumPy, SQL with Airflow to process millions of records into Snowflake and MySQL, applying scikit-learn for experimentation & validation. Automated CI/CD (Docker + GitHub Actions) deployed scalable services on AWS (EC2, RDS, S3), and integrated Tableau dashboards for predictive insights. Designed and launched a user management & trading web app ( www.usplbot.com ) with React, Node.js and MongoDB for enrollment, authentication, and real-time workflows.

Technical Advisor Intern (GenAI) at Scale AI

Built and deployed LLM-powered Text-to-SQL APIs in Python (Flask, FastAPI) with NLP pipelines, deployed on Databricks, containerized with Docker and Kubernetes, and orchestrated via GitHub Actions CI/CD, enabling 200+ researchers to query relational databases. Automated ETL workflows with Pandas, NumPy, SQL, PySpark, and Redis and SQL Server integrations for scalable data processing. Fine-tuned and evaluated ML models for query understanding, schema linking, feature engineering, exploratory data analysis (EDA), and hyperparameter tuning, achieving 81% execution accuracy on Spider and WikiSQL datasets.

AI Software Engineering Intern at Ampure Charging Systems, Inc

Engineered predictive pipelines with PyTorch LSTMs on AWS SageMaker, integrated into the web App (dev.ampureintelligence.com) using React, Node.js, Express, SQL Server for next-day departure prediction, load optimization, user authentication, and secure start/stop charging, connected via Python and FastAPI OCPP backend for real-time EV telemetry/control. Built large-scale ETL workflows in PySpark, Pandas, NumPy, SQL with Apache Airflow, processing 120+ telemetry records/day into Snowflake. Automated AWS EC2, Lambda, S3 deployments, applied MLOps validation (Great Expectations), and created monitoring dashboards (Prometheus) to ensure reliability and reduce incident response time by 20%.

Machine Learning Engineer at Ultimate Scaler Pvt.Ltd

Built AI-driven stock trading & analytics systems with Gradient Boosting, LSTM, and hybrid classifiers (XGBoost, SVM, KNN), improving portfolio returns by 25.5% and reducing false signals by 28%. Designed ETL pipelines in PySpark, Pandas, NumPy, SQL with Airflow to process millions of records into Snowflake, applying scikit-learn for experimentation & validation. Automated CI/CD (Docker and GitHub Actions) deployed scalable services on AWS (EC2, RDS, S3), and integrated Tableau dashboards for predictive insights. Designed and launched a user management & trading web app (www.usplbot.com) with React, TypeScript, Node.js, Express, and MySQL for enrollment, authentication, and real-time workflows.

Technical Advisor Intern (GenAI) at Scale AI

Built and deployed LLM-powered Text-to-SQL APIs in Python (Flask, FastAPI) with NLP pipelines, deployed on Databricks, containerized with Docker and Kubernetes, and orchestrated via GitHub Actions CI/CD, enabling 200+ researchers to query relational databases. Automated ETL workflows with Pandas, NumPy, SQL, PySpark, and Redis and SQL Server integrations for scalable data processing. Fine-tuned and evaluated ML models for query understanding, schema linking, feature engineering, exploratory data analysis (EDA), and hyperparameter tuning, achieving 81% execution accuracy on Spider and WikiSQL datasets.

AI Software Engineering Intern at Ampure Charging Systems, Inc

Engineered predictive pipelines with PyTorch LSTMs on AWS SageMaker, integrated into the web app (dev.ampureintelligence.com) using React, Node.js, Express, SQL Server for next-day departure prediction, load optimization, user authentication, and secure start/stop charging, connected via Python and FastAPI OCPP backend for real-time EV telemetry/control. Built large-scale ETL workflows in PySpark, Pandas, NumPy, SQL with Apache Airflow, processing 120+ telemetry records/day into Snowflake. Automated AWS EC2, Lambda, S3 deployments, applied MLOps validation (Great Expectations), and created monitoring dashboards (Prometheus) to ensure reliability and reduce incident response time by 20%.

Machine Learning Engineer at Ultimate Scaler Pvt.Ltd

Built AI-driven stock trading & analytics systems with Gradient Boosting, LSTM, and hybrid classifiers (XGBoost, SVM, KNN), improving portfolio returns by 25.5% and reducing false signals by 28%. Designed ETL pipelines in PySpark, Pandas, NumPy, SQL with Airflow to process millions of records into Snowflake, applying scikit-learn for experimentation & validation. Automated CI/CD (Docker and GitHub Actions) deployed scalable services on AWS (EC2, RDS, S3), and integrated Tableau dashboards for predictive insights. Designed and launched a user management & trading web app (www.usplbot.com) with React, Typescript, Node.js, Express, and MySQL for enrollment, authentication, and real-time workflows.

Technical Advisor Intern (GenAI) at Scale AI

Built and deployed LLM-powered Text-to-SQL APIs in Python (Flask, FastAPI) with NLP pipelines, deployed on Databricks; containerized with Docker and Kubernetes; orchestrated via GitHub Actions CI/CD, enabling 200+ researchers to query relational databases. Automated ETL workflows with Pandas, NumPy, SQL, PySpark, and Redis and SQL Server integrations for scalable data processing. Fine-tuned and evaluated ML models for query understanding, schema linking, feature engineering, EDA, and hyperparameter tuning, achieving 81% execution accuracy on Spider and WikiSQL.

AI Software Engineering Intern at Ampure Charging Systems, Inc

Engineered predictive pipelines with PyTorch LSTMs on AWS SageMaker, integrated into the web app using React, Node.js, Express, SQL Server for next-day departure prediction, load optimization, user authentication, and secure start/stop charging, connected via Python and FastAPI OCPP backend for real-time EV telemetry/control. Built large-scale ETL workflows in PySpark, Pandas, NumPy, SQL with Apache Airflow, processing 120+ telemetry records/day into Snowflake. Automated AWS EC2, Lambda, S3 deployments, applied MLOps validation (Great Expectations), and created monitoring dashboards (Prometheus) to ensure reliability and reduce incident response time by 20%.