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Sachin_B

Sachin Bulchandani

ML Engineer | Cloud & MLOps Expert | Prompt Engineer | Researcher

Crafting intelligent ML solutions with expertise in cloud infrastructure, MLOps, and optimized prompt design.
Explore my projects below!
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Technologies I Work With

Python
PyTorch
TensorFlow
AWS
Azure
Google Cloud
Docker
Kubernetes
Typescript
Javascript
Pandas
Numpy
Scikit-learn
Git
Github Actions
Python
PyTorch
TensorFlow
AWS
Azure
Google Cloud
Docker
Kubernetes
Typescript
Javascript
Pandas
Numpy
Scikit-learn
Git
Github Actions
I harness a robust skill set spanning Python, TensorFlow, PyTorch, Docker, and Kubernetes to design and deploy scalable machine learning models and streamlined MLOps pipelines. With extensive experience managing cloud infrastructures on AWS, Azure, and GCP, my focus includes developing diverse AI solutions and ensuring their optimal performance and seamless integration into robust cloud deployments.

Background

Large Language Model (LLM) Trainer & Evaluator

DataAnnotation | Freelance - Remote, Toronto, ON | Nov. 2023 - Present

  • Crafted prompts in Python, JavaScript, C/C++, and TypeScript to enhance LLM code generation.
  • Evaluated AI code for accuracy and provided feedback to improve performance.
  • Designed multi-round tasks with edge cases to refine model reasoning.
  • Analyzed GitHub projects to enhance LLM accuracy and response quality.

Research Assistant

Fraunhofer IOSB-INA | Part-time - Remote, NRW, Germany | Apr. 2021 - Oct. 2022

  • Built an LSTM-based anomaly detection pipeline, boosting accuracy by 10%.
  • Analyzed sensor data for smart manufacturing optimization.
  • Simulated cyber-attacks to improve AI threat detection.
  • Managed a 100GB data repository for ML training.

Design and Development Engineer

Kaizen Switchgear Products | Guj, India | Mar. 2018 - May. 2019

  • Redesigned bushings, improving performance by 22%.
  • Ensured compliance with IEC and IEEE standards.
  • Conducted high-voltage and thermal testing.

Education

Post-Graduate Certificate in Cloud Computing Technologies

George Brown College, Toronto, ON

Apr. 2025 | GPA: 3.8

Courses: AWS Cloud Practitioner, Azure Admin, AWS Solutions Architect.

MSc. in Information Technology

Technical University of Ostwestfalen-Lippe, NRW, Germany

GPA: 3.83

Courses: Advanced ML, Algorithms, Embedded Systems.

B-Tech in Electrical Engineering

Charotar University, Guj, India

Aug. 2017 | GPA: 3.64

Courses: Signal Processing, Control Systems, C/C++.


Certifications

Amazon Solution Architect (Associate) | AWS | Expected Jul. 2025

AWS Cloud Practitioner | AWS | Dec. 2024

AWS Certified ML Specialist | AWS | Feb. 2024

Advanced Machine Learning | IBM | Oct. 2023

Professional Data Analytics | Google | Jun. 2023

Projects

Live Model!
Breast Cancer Detection (Computer Vision)

Breast Cancer Detection (CV)

Fine-tuned ResNet18 CNN with PyTorch for breast cancer detection using CBIS-DDSM data. Features Streamlit UI, deployed on AWS ECS with Docker.

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Live Model!
RAG-based AI Chatbot

RAG Chatbot

Interactive chatbot using RAG with LangChain, FAISS, and FastAPI. Deployed serverlessly on AWS Lambda.

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Live Model!
House Price Prediction

House Price Prediction

XGBoost model for house price prediction using Kaggle data. Includes Streamlit UI, deployed on AWS Lambda.

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E-Commerce Website

E-commerce website deployed on AWS

Scalable multi-tier e-commerce platform on AWS with EKS, microservices, and CI/CD pipelines.

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Movielytics Data Analytics ETL

Movielytics Data Analytics ETL

Scalable ETL pipeline on AWS S3/Redshift with Spark and Docker, processing 45K+ records.

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NLP Movie Recommender System

NLP Movie Recommender

NLP-based recommender using NLTK and Word2Vec on IMDB 5000 data, deployed with Flask.

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RL for Routing Problem

RL for Routing Problem

PPO-based RL for industrial routing with PyTorch, tested in a custom Petri-net environment.

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Master's Thesis: Intelligent Job Scheduling with GNN-RL

Master's Thesis: Intelligent Job Scheduling with GNN-RL

GNN-RL agent for job shop scheduling optimization, benchmarked on AWS EC2.

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Get in Touch

I'd love to hear about potential opportunities, collaborations, or just to chat about ML, cloud tech, or research!
Feel free to reach out via the form below or connect with me on my professional networks.