Pranav Dhakras

Lead ML Engineer

Madrid, Community of Madrid, Spain11 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

5+ years in ML, NLP, and Generative AI.
Led multilingual GenAI solutions at PayPal.
Expert in conversational AI and deep learning.

Stackforce AI infers this person is a specialist in AI-driven solutions for Customer Service and HR Tech industries.

Contact

Skills

Core Skills

Large Language Models (llm)Natural Language ProcessingConversational AiMlopsDeep LearningFlask

Other Skills

Microsoft Azure Machine LearningMLflowScikit-LearnModel TrainingGoogle BigQueryXGBoostGenerative AIGoogle Cloud Platform (GCP)Solution-orientedOpenAITensorFlowProblem SolvingPandas (Software)Machine LearningPyTorch

About

I have 5+ years' experience in the fields of ML, NLP, LLMs and Generative AI in Customer Service and HR Tech domains. I have closely collaborated with business, product, and tech teams to deliver analytical solutions, engaging at various stages from ideation to production deployment.

Experience

11 yrs 10 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 1 mo

Current Experience

Revolut

Deep Learning Engineer

May 2025 – Present · 1 yr 1 mo · Madrid, Community of Madrid, Spain · Remote

Paypal

ML Scientist 3

Jan 2022 – Dec 2024 · 2 yrs 11 mos · Bangalore Urban, Karnataka, India

Led the development and production deployment of a scalable, multilingual GenAI contact summarization solution, resulting in significant efficiency gains.
Created a versatile GenAI conversational microservice, optimizing performance and improving customer satisfaction through innovative prompt engineering and CI/CD pipelines.
Developed a streamlined Python text summarization package and organically acted as Scrum Master for a team of 7 data scientists.

Large Language Models (LLM)Microsoft Azure Machine LearningMLflowNatural Language ProcessingScikit-LearnModel Training+19

Edge networks pvt. ltd.

2 roles

Data Scientist II

Promoted

Oct 2020 – Dec 2021 · 1 yr 2 mos

Led a team in developing an interpretable deep learning HR tech recommendation model, improving key metrics by 20%.
Designed and implemented Flask microservices for resume and job description parsing, combining rule-based and deep learning approaches.
Managed a large-scale data annotation project (30,000 resumes) and mentored junior team members.

Natural Language ProcessingNLTKScikit-LearnEntity ExtractionModel TrainingDeep Learning+11

Data Scientist

Dec 2019 – Oct 2020 · 10 mos

Designed and implemented Flask microservices for resume and job description parsing, combining rule-based and deep learning approaches.
Managed a large-scale data annotation project (30,000 resumes) and mentored junior team members.

Natural Language ProcessingNLTKModel TrainingDeep LearningXGBoostSolution-oriented+4

I.am+

2 roles

Research Engineer

Jan 2019 – Dec 2019 · 11 mos

Enhanced model performance by 14% using Bi-LSTM-CRF models deployed as Flask/Docker microservices.
Developed an in-house, template-based automatic data synthesis pipeline with use-case specific configurability.
Involved in building and maintaining the models for intent classification, entity extraction and email classification.

Natural Language ProcessingNLTKModel TrainingConversational AIDeep LearningXGBoost+5

Research Intern

Jun 2017 – Dec 2018 · 1 yr 6 mos

Performed initial research and development of a deep learning model for entity extraction in the virtual assistant developed by i.am+

Natural Language ProcessingNLTKModel TrainingConversational AIDeep LearningXGBoost+4

Iiit hyderabad

Research Assistant

Jan 2017 – Dec 2018 · 1 yr 11 mos · Hyderabad, Telangana, India

Collaborated on a legal document processing project with a multinational corporation and taught a Python basics course.

Natural Language ProcessingNLTKModel TrainingDeep LearningXGBoostProblem Solving+4

Seclore

Product Engineer

Jul 2013 – Jul 2016 · 3 yrs · Mumbai, Maharashtra, India

Led Mac OS development for Seclore's File Secure, mentored junior developers, and implemented bug fixes and features across Windows and Mac platforms.
Mentored junior developers and fresh graduates in understanding strict coding standards, reusable design principles and source control management.

Solution-orientedProblem Solving