Open to opportunities

Siddharth Tanwar

@siddharthtanwar

Message

Applied AI Engineer specializing in Generative AI, RAG systems, and LLM-powered AI agents for production workflows.

Canada

Message

What I'm looking for

I’m looking to build production Generative AI systems—RAG pipelines, AI agents, and LLM-powered apps—where I can design scalable Python/FastAPI services and deploy reliably on AWS/GCP with strong API integration.

AI and Data professional with a strong foundation in Machine Learning, Data Science, Analytics, and Software Development. Experienced in building intelligent systems, developing data-driven solutions, and transforming complex datasets into actionable insights. Skilled in Python, SQL, Machine Learning, Deep Learning, Data Visualization, and AI-powered applications.

I have worked on projects involving predictive modeling, graph neural networks, recommendation systems, automation tools, and AI-driven decision-making systems. My background combines technical expertise with a practical problem-solving mindset, allowing me to deliver scalable and impactful solutions.

Passionate about leveraging AI and data to solve real-world business challenges, optimize processes, and create innovative products. Always eager to learn emerging technologies, collaborate with forward-thinking teams, and contribute to meaningful projects that drive measurable results.

Experience

Work history, roles, and key accomplishments

Software Analyst Intern

Second Approach

May 2025 - Aug 2025 (3 months)

Developed scalable ML and analytics ETL pipelines in Python, SQL, and Spark to power automated business intelligence systems, reducing manual reporting effort by 40% through optimized forecasting dashboards. Built an OpenAI API–based AI assistant using prompt engineering and workflow orchestration, integrating API-driven automation into production processes.

Python SQL Apache Spark ETL OpenAI API Prompt Engineering Workflow Orchestration API Integration

Data Analyst Intern

Scan Data Infotech

Jul 2022 - Sep 2022 (2 months)

Built predictive churn analysis models using Python, SQL, and machine learning pipelines, achieving 90% precision. Automated operational reporting and KPI monitoring workflows, improving process efficiency by 25%, and integrated ML outputs into BI dashboards for data-driven operational decisions.

Python SQL Machine Learning predictive modeling KPIs Data Pipelines Reports And Dashboards Data Driven Decision Making