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Dinal K.DK

Dinal K.

Backend / data / algorithms / LLMs

600 €/jour
22 projets
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Dinal

I am tech agnostic and interested in providing technological consultations, solutions, and programming. I have product development experience for more than 4 years as well.

I have more than 10 years of programming experience. I have founded multiple AI startups including autochatic.com (a chatbot building tool) and akarsa.ai (an AI for content analysis).

Apart from the above, I've helped startups such as DearMuesli, Lightyshare, Lovel, and Hotel-Direct-Booster as a consultant CTO. I have helped those startups accelerate, grow, and make their technologies robust.

I have worked in several companies on different continents including the Denso group contributing to a text rendering engine used by Toyota.
  • Anglais

    Bilingue ou natif

  • Français

    Capacité professionnelle limitée

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

Expériences

  • Coachello
    CTO
    EDUCATION & E-LEARNING
    juin 2021 - Aujourd'hui (5 ans)
    Paris, France
    I have created GPT based intelligence for coaching. My tasks included: "prompt engineering", open AI integrations, LLM fine-tuning, GPT3 and GPT4 API integration, whisper integration, prompting, handling parallelism, handling failure and autonomous learning. Used technologies including OpenAI, FastAPI, MongoDB/MYSQL, Vector DBs such as Pine cone.
    LLM GPT3 Prompt engineering prompting GPT GPT 4 Prompt engineering Mistral Google cloud NLU Natural Language Processing (NLP)
  • M13H
    Data engineering and API connections at scale.
    HIGH TECH
    mars 2022 - mars 2022 (1 mois)
    Startup specialized in data engineering and connecting data to different APIs such as Google ads etc.

    Improved the existing code, working with google GCP. Concerns included encrypting user data, and managing and securing data.

    Python Automation Google cloud Start-up Fast-api Développement Back-End Data Engineer LLM Prompt engineering Natural Language Processing (NLP)
  • Artefact
    Tech Lead
    HIGH TECH
    avril 2021 - Aujourd'hui (5 ans et 2 mois)
    Paris, France
    Improved data analytics pipelines for data visualization. Data engineering on the backend with Fast API.

    Technologies included Python, React, Flask, Fast-API, SQL, MySQL, Redis, Google cloud platform, BigQuery, App Engine, Cloud Run
    Python flask fast-api redis BigQuery Google App Engine Développement Back-End Data Engineer

Avis

5,0

sur 7 évaluations

CS

Compte supprimé

Avis laissé le 18/07/2022

Dinal a choisi de masquer 1 avis de fin de projet

1 avis écrit est privé.

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Formations

  • Bachelors in Computer Science Engineering
    University of Moratuwa
    2015
    Coursework included: Machine learning, Data mining and Information retrieval, Advanced algorithms, Distributed systems, Concurrent programming, Bioinformatics, Embedded systems, Image processing, Intelligent systems, Human computer interaction, Software process management, Algorithms and Datastructures, Computer security, Calculus, and Linear algebra.

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