Gurbhej Singh Sra

AI/ML Engineer | Data Scientist | Applied Statistician

LinkedIn

Village Bandi, Bathinda, IN

About

Highly analytical and results-driven Master of Science candidate in Applied Statistics, specializing in advanced AI/ML, Natural Language Processing (NLP), and statistical modeling. Proven ability to design and deploy scalable AI systems, optimize complex algorithms, and extract actionable insights from diverse datasets, as demonstrated by a 33% reduction in prediction errors for time-series forecasting and the development of an LLM-as-a-Judge framework. Seeking to leverage expertise in data science, machine learning, and statistical methodologies to drive innovation and solve challenging problems in a dynamic technical environment.

Work Experience

AI/ML Intern

Bosch Global Software Technologies (BGSW)

Jan 2025 - May 2025

Bangalore, Karnataka, India

Spearheaded the design and deployment of advanced AI/ML solutions, including an LLM-as-a-Judge framework and an agentic AI system, to optimize processes and evaluate model responses at Bosch Global Software Technologies.

  • Designed and deployed an innovative LLM-as-a-Judge evaluation framework, enhancing the assessment of model responses on quality, relevance, and coherence for critical AI applications.
  • Architected a cutting-edge end-to-end agentic AI system for process optimization, meticulously aligning its development with Six Sigma DMAIC methodology.
  • Formally submitted an Invention Report titled “End-to-End Layered Agentic AI Framework for Process Optimization using Six Sigma (DMAIC) Approach,” demonstrating novel contributions to AI-driven process efficiency.

Education

QMS (Applied Statistics)

Indian Statistical Institute, Bangalore

79.2%

Jul 2023 - Jun 2025

Bangalore, Karnataka, India

Courses

  • Descriptive Statistics
  • Inferential Statistics
  • Pattern Recognition
  • Applied Regression
  • Design of Experiments
  • Six Sigma
  • Project Management

Projects

Multimodal RAG System for Efficient Information Retrieval

Jun 2025 - Jul 2025

Developed an independent multimodal Retrieval-Augmented Generation (RAG) system utilizing Hugging Face, Qdrant, and Python to enhance information retrieval and context comprehension.

Forecasting of Cotton Price by Bagging of Time Series Models

Nov 2024 - Jan 2025

Executed a Master's project at the Indian Statistical Institute, developing a robust ensemble model to forecast cotton prices using advanced time series techniques.

Skills

Technical Skills

  • Python
  • Structured Query Language (SQL)
  • Power BI
  • Minitab

Libraries/Frameworks

  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Scikit-Learn
  • TensorFlow
  • Hugging Face
  • Qdrant

Data Science & AI Expertise

  • Data Visualization
  • Statistical Modeling
  • Decision Tree
  • Bagging
  • Boosting
  • Dimensionality Reduction (PCA)
  • Time-Series Modeling & Forecasting
  • Clustering
  • Deep Learning
  • Natural Language Processing (NLP)
  • Convolutional Neural Networks (CNNs)
  • Graph Neural Networks (GNN)
  • Transformers
  • LSTM
  • U-Net
  • YOLO
  • Encoder-Decoder Architectures
  • Generative Adversarial Network (GAN)
  • Large Language Model (LLM)
  • Fine-tuning
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI