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Bhuwan BhattBB

Bhuwan Bhatt

Machine Learning Engineer | Generative AI | LLMs

€521/day
London, GB
3-7 years

Average response time: 1 hour

About Bhuwan

I help businesses and teams turn complex AI challenges into scalable, production-ready solutions. With 5+ years of experience in ML/AI, LLMs, and MLOps, I specialize in optimizing workflows, cutting operational costs, and boosting model performance. My edge lies in combining deep technical expertise with hands-on cloud experience, particularly on AWS, to design, deploy, and maintain high-impact AI systems. I’ve delivered projects ranging from LLM-powered medical transcription and recommendation engines to document ranking systems and predictive analytics. Whether it’s building end-to-end ML pipelines, fine-tuning large language models, or architecting cost-efficient cloud infrastructures, I bring a track record of delivering solutions that are not only accurate but also fast, reliable, and easy to scale.
  • English

    Native or bilingual

Can work on-site
London (up to 50km)

Experience

  • Triumph Technology Solutions
    ML Engineer
    September 2022 - August 2023 (11 months)
    Kathmandu 44600, Nepal
    • Automated transcription of doctor-patient conversations using Amazon Transcribe Medical, improv ing documentation efficiency.
    • Extracted key medical entities (medications, diagnoses, symptoms) using Amazon Comprehend Medical, enhancing structured data retrieval.
    • Generated structured SOAP notes using LLMs (e.g., ChatGPT, Stable Vicuna), reducing man ual effort by 50%.

    7Cups
    • Translated client requirements into actionable ML solutions through discovery sessions.
    • Optimized the platform's recommendation system using AWS Personalize, enhancing content relevance and user engagement.
    • Analyzed recommendation engine performance through data insights, identifying improvements in post relevancy.
    • Developed an interactive Amazon QuickSight dashboard to visualize key engagement metrics, improving decision-making.
    Others: Traive, Zetane, LucidAct, Cellereye
    • Architected scalable, fault-tolerant AWS-based ML infrastructures, optimizing performance and reliability.
    • Conducted in-depth latency analysis to estimate request delays during cloud migration, ensuring seamless transition.
    • Developed comprehensive AWS cost estimations using the AWS Pricing Calculator, enabling clients to budget efficiently.
    • Automated nursing summary generation at LucidAct using LLMs (ChatGPT, Stable Vicuna), reducing manual workload.
    • Implemented LLM-powered explainability models at Traive, improving financial ML decision transparency.
    Tools: Lambda, S3, EC2, Amazon Personalize, Amazon ECR, Sagemaker, QuickSight, Large Language Models, ChatGPT, Python, Stable Vicuna, Falcon 40B, HuggingFace, Pytorch, Pandas, Data Analysis, Cloudwatch, Glue, ETL, VPC, Linux, Unix, Exploratory Data Analysis
    Python AWS Pytorch Machine learning Generative AI
  • Upwork
    ML Engineer
    September 2017 - December 2023 (6 years and 3 months)
    • Developed ML solutions for diverse clients in finance, healthcare, and manufacturing, delivering scalable and production-ready models.
    • Designed and optimized stock prediction models for the US market, integrating sentiment clas sification to reduce false positives.
    • Built OCR-based text extraction pipelines and performed information retrieval from unstruc tured image-based documents.
    • Engineered an audio-based equipment defect detection system using signal processing and deep learning, improving predictive maintenance.
    • Employed LIME and SHAP to enhance explainability of ML model predictions, increasing trans parency and trust in AI-driven decisions.
    • Mentored a high school student in Python and machine learning, fostering foundational knowledge in AI.
    Python Machine learning Pytorch Scikit-learn Pandas
  • Fusemachines Nepal
    ML Engineer
    December 2019 - December 2021 (2 years)
    Kathmandu 44600, Nepal
    • Led the development of FuseStudio, an AI-powered tool that automatically generates videos from slide content and speaker notes, streamlining content creation.
    • Mentored junior engineers in TDD, SHAP, LIME, and best practices in ML model interpretability, fostering a culture of technical growth.
    • Experimented with Generative Adversarial Networks (GANs) for image generation, contribut ing to research and development efforts.
    Machine learning Python TensorFlow Scikit-learn Numpy

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Education

  • Masters of Advanced Computer Science
    University of Hertfordshire
    2024
    Masters of Advanced Computer Science
  • Bachelor of Computer Engineering
    Institute of Engineering, Tribhuvan University
    2018
    Bachelor of Computer Engineering

Skill set

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