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Kriti GuptaKG

Kriti Gupta

Applied Scientist

405 €/jour
Berlin, DE
3-7 ans

Délai de réponse moyen : 1h

À propos de Kriti

I’m an Applied Scientist and AI researcher with over 3 years of experience building and deploying machine learning and NLP solutions at scale. My work focuses on Large Language Models (LLMs), explainable AI, and knowledge distillation, where I bridge research and production to create efficient, interpretable, and high-performing systems.

I’ve led multiple end-to-end projects. From designing LLM-powered smart composition and chatbot systems used by enterprise clients, to developing lead scoring models and explainable sales prediction frameworks that increased model transparency and business trust.

Currently completing my MSc in Artificial Intelligence at the University of Edinburgh, my dissertation research involved designing a distillation pipeline for translation tasks, fine-tuning open-source LLMs, and analyzing model reliability, work I’m now preparing for publication.

I’m particularly skilled in:

Machine Learning & NLP: PyTorch, Transformers, Hugging Face, LightGBM, LoRA, time series forecasting (LSTM, Autoencoders, ARIMA)

Explainability: SHAP, counterfactuals, interpretability frameworks

Tools & Workflow: MLflow, Jira (Agile), Git, basic AWS framework

My goal as a freelancer is to help teams build reliable and interpretable AI systems — whether that’s through model design, fine-tuning, or research-driven evaluation. I value clear communication, collaboration, and delivering results that are both technically sound and easy to understand.

Let’s connect if you’re looking for someone who combines strong technical depth with research insight to bring your AI ideas to life.
  • Anglais

    Bilingue ou natif

  • Hindi

    Bilingue ou natif

Accepte de travailler sur site
Berlin (jusqu’à 50 km)

Expériences

  • Tekion Corp
    Applied Scientist
    janvier 2021 - mai 2024 (3 ans et 4 mois)
    • Smart Compose: Built and deployed an LLM-powered system for automated sales email and text generation, achieving 80% acceptance rate.
    • Retail Chatbot: Enhanced chatbot using the RASA framework; redesigned architecture to consolidate multiple versions, reducing redundancy and improving response accuracy.
    • Lead Scoring: Designed and implemented a LightGBM-based lead scoring system from scratch, improving conversion prediction accuracy and dashboard readability.
    • Explainable Sales Prediction: Experimented with PLS regression, SHAP, and counterfactual explanations to analyze drivers of sales fluctuation and improve stakeholder trust.
    • Coordinated cross-functional teams to ensure timely and scalable ML product delivery.
    LLM finetuning Chatbot Predictive modelling Data science
  • Visa Inc.
    SDE Intern
    mai 2020 - juillet 2020 (2 mois)
    • Collaborated with international interns to design a financing solution for farmers, focusing on accessible digital payment ecosystems.
    System design
  • Tango Eye
    SDE Intern
    juin 2019 - juillet 2019 (1 mois)
    • Developed a computer vision-based shelf analytics system for retail stores.
    • Improved human detection from top-view CCTV feeds using custom data augmentation.
    Computer vision Retail analytics motion tracking

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Formations

  • MSc in Artificial Intelligence
    University of Edinburgh
    MSc in Artificial Intelligence
  • B.Tech. in Computer Science and Engineering
    Vellore Institute of Technology
    2021
    B.Tech. in

Certifications

  • Machine Learning
    Microsoft Training Association
    2018
    Machine learning

Compétences

Catégories