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3+ year of experience in Data related field with a strong background in developing and deploying scalable data solutions. Proficient in Python, PyTorch, and Azure, with hands-on experience in architecting automated ETL pipelines and statistical models. Skilled in designing end-to-end reporting pipelines and backend APIs.…

Shivam Pandey

AI Engineer, Data Scientist, Full Stack Developer, +2

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3+ year of experience in Data related field with a strong background in developing and deploying scalable data solutions. Proficient in Python, PyTorch, and Azure, with hands-on experience in architecting automated ETL pipelines and statistical models. Skilled in designing end-to-end reporting pipelines and backend APIs.…

Available to hire

3+ year of experience in Data related field with a strong background in developing and deploying scalable data solutions. Proficient in Python, PyTorch, and Azure, with hands-on experience in architecting automated ETL pipelines and statistical models. Skilled in
designing end-to-end reporting pipelines and backend APIs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

German

Beginner

Work Experience

ML Engineer (Working Student) at HAVI

July 1, 2024 - Present

Architected a modular RAG LLM orchestration pipeline using Crew AI and Python, implementing structured prompt engineering to reliably translate natural language into SQL, facilitating automated data retrieval.

Big Data Engineer at Infosys

October 1, 2021 - May 1, 2023

Engineered distributed data solutions using PySpark and Spark SQL on Azure Databricks and Synapse, accelerating big data processing and enabling advanced analytics for high-volume datasets. Spearheaded end-to-end development of an interactive energy management dashboard (Plotly, Dash), translating complex sensor data into actionable insights that improved energy usage visibility by 40%. Engineered dynamic front-end components (HTML, CSS, JavaScript) and intuitive visualizations for non-technical stakeholders, bridging the gap between raw data and business decision-making.

Research Assistant at Elena Institute

July 1, 2023 - June 1, 2024

Architected scalable backend APIs (Flask, REST, Python) to ingest live data streams into MySQL, optimizing data throughput and significantly reducing monitoring lag for real-time energy systems. Spearheaded end-to-end development of an interactive energy management dashboard (Plotly, Dash), translating complex sensor data into actionable insights that improved energy usage visibility by 40%. Engineered dynamic front-end components (HTML, CSS, JavaScript) and intuitive visualizations for non-technical stakeholders, bridging the gap between raw data and business decision-making.