Nishant Borkar

Artificial Intelligence and Machine Learning Engineer
N-7 RAISHNE AWASH NEHRU NAGAR, 490020, Bhilai, India.

About

Highly motivated Artificial Intelligence and Machine Learning professional with a proven track record in developing and deploying scalable, data-driven solutions. Expert in building intelligent systems, including AI-powered chatbots, hybrid recommendation engines, and fault detection models, leveraging deep learning, MLOps, and robust data pipelines to drive innovation and achieve measurable results.

Work

Augtech Nextwealth pvt ltd
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Process Executive (Intern)

Bhilai, Chhattisgarh, India

Summary

Supported operational workflows and data management as a Process Executive Intern, contributing to efficient task execution and process optimization.

Highlights

Assisted in streamlining data processing and workflow management, contributing to overall operational efficiency.

Collaborated with team members to ensure accurate data entry and maintenance, supporting critical business processes.

Contributed to process documentation and improvement initiatives, enhancing clarity and consistency of operations.

Education

Rungta College of Engineering and Technology
Bhilai, Chhattisgarh, India

B.Tech

Artificial Intelligence & Machine Learning

Govt. Coed polytechnic college
Raipur, Chhattisgarh, India

Diploma

Mechanical Engineering

Certificates

Deep Learning Specialization

Issued By

Coursera

Python Programming

Issued By

Learnvern

Skills

Programming Languages

Python, SQL, React JS.

ML/DL Frameworks & Libraries

TensorFlow, PyTorch, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, LangChain, LangGraph.

Databases & Data Stores

MongoDB, PostgreSQL, Pinecone, ChromaDB.

MLOps & Cloud Platforms

MLflow, DVC, Kubeflow, AWS (S3, EC2), GCP, Docker, Jenkins.

Tools & Methodologies

Jupyter Notebook, Google Colab, Git, MS Excel, Prompt Engineering, ETL Pipelines, CI/CD, Data Version Control, API Development.

Core AI/ML Concepts

Deep Learning, Machine Learning, Natural Language Processing (NLP), Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Sequence Models, Transformers, Collaborative Filtering, Content-Based Filtering, XGBoost, Binary Classification.

Projects

TalentScout Hiring Chatbot

Summary

Developed an intelligent AI chatbot for automated technical candidate screening, leveraging advanced natural language processing to conduct interactive interviews and evaluate performance.

Hybrid Recommendation System

Summary

Designed and deployed a scalable hybrid recommendation system capable of processing millions of data records, combining collaborative and content-based filtering for personalized user experiences.

Sensor Fault Detection

Summary

Built and deployed a high-accuracy sensor fault detection system leveraging XGBoost and MLOps tools for reliable real-time prediction and monitoring.