Looking for a job

Vijay Vishwakarma

@vijayvishwakarma

Message

I build deployable AI systems, from forecasting pipelines to LLM agents and recommendation engines.

India

Message

What I'm looking for

I'm looking for an AI and data engineering role where I can build deployable ML and generative AI solutions, turn data into useful insights, and grow through hands-on work with modern cloud, backend, and MLOps tools.

I've built deployable AI solutions through internships at Edunet Foundation and YBI Foundation, including a carbon-emission forecasting pipeline that achieved 93.3% prediction accuracy and a hybrid music recommendation system that improved precision by 23.4% over simpler models.

I'm most aligned with AI and data engineering, using PyTorch, LangChain, Scikit-Learn, Python, cloud services, and containerized deployment. My projects include a DeepSeek-R1 consensus agent designed to reduce hallucinations, a voice translation and cloning utility, and a CNN-RNN DNA sequence classifier that outperformed a baseline by 24%.

Experience

Work history, roles, and key accomplishments

AI Engineering Intern

Edunet Foundation

Jun 2025 - Aug 2025 (2 months)

Engineered a Carbon Emission forecasting ML pipeline using Python, Scikit-Learn and Airflow, achieving a 93.3% prediction accuracy score on a noisy 35-year historical sensor dataset. Streamlined data processing and hyper-parameter tuning via MLflow, and deployed the containerised project using Docker.

Python scikit learn Airflow MLFlow Docker

AI Engineering Intern

YBI Foundation

Jun 2024 - Aug 2024 (2 months)

Transformed data into analytical insights using statistics and probability via NumPy and Matplotlib for data visualization. Developed a hybrid music recommendation system combining collaborative filtering with NLP, resulting in higher precision by 23.4% than simpler models, and deployed the pipeline at client side.

NumPy Matplotlib NLP Collaborative Filtering Recommendation Systems