Nishant Borkar

Artificial Intelligence and Machine Learning Engineer

GitHub | Email | Phone

[email protected]

7024409426

N-7 RAISHNE AWASH NEHRU NAGAR, 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 Experience

Process Executive (Intern)

Augtech Nextwealth pvt ltd

Nov 2022 - Aug 2023

Bhilai, Chhattisgarh, IN

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

  • 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

Artificial Intelligence & Machine Learning

Rungta College of Engineering and Technology

Jan 2022 - Dec 2025

Bhilai, Chhattisgarh, IN

Mechanical Engineering

Govt. Coed polytechnic college

Jan 2019 - Dec 2021

Raipur, Chhattisgarh, IN

Certificates

Deep Learning Specialization

Coursera

Jan 2023

Python Programming

Learnvern

Jan 2023

Projects

TalentScout Hiring Chatbot

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

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

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

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