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Pascal P.

AI and Data Science , Information Technology , Operations

call   (214) GO-RELAY / (214) 467-3529

email   Careers@RelayHumanCloud.com

home   Ahmedabad, India


SKILLS

  • Agentic AI
  • Python
  • Programming Languages: C++ (Familiar), JavaScript (Familiar)
  • Machine Learning: Deep Learning, Generative Adversarial Networks (GAN), Natural Language Processing (NLP), Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), MLFlow, Transformer Models, Random Forest
  • ML Frameworks & Tools: Pandas, NumPy, TensorFlow, Keras, SpaCy, NLTK, BERT, Semantic Search, Embeddings
  • RAG & LLM Technologies: Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Retrieval-Augmented Generation (RAG), Vector Databases (e.g., Pinecone), LangChain, Transformer-based Models
  • DevOps & Cloud: Git, Docker, AWS, GCP, Azure (AI Studio), Jenkins, Terraform, Ansible
  • Problem Solver
  • Clear Communicator
  • Visionary Thinker
  • Passionate Technologist
  • Collaborative Team Player

EDUCATION

Bachelor of Engineering

M.B.M Engineering Collage


Extraverted Introverted Intuitive Observant Thinking Feeling Judging Prospecting

PROFESSIONAL SUMMARY

Results-driven AI/ML Engineer with hands-on experience designing and deploying AI-powered solutions across EdTech, customer support, fraud detection, and recommendation systems. Proven ability to build high-accuracy models using NLP, LLMs, deep learning, and scalable ML pipelines to drive user engagement, reduce operational inefficiencies, and deliver measurable business impact. Strong background in developing speech-to-text systems, hybrid recommendation engines, and automated customer support platforms. Adept at optimizing model performance, accelerating deployment cycles, and improving precision across diverse machine learning applications.

PROFESSIONAL EXPERIENCE

AI/ML Engineer

Freelancing | India | Sep 2024 – Present

  • Delivered AI solutions for speech recognition, virtual assistance, and automated support that improved customer engagement and reduced operational load.
  • Built a real-time speech-to-text system with 95% accuracy, reducing response time and enhancing user interaction.
  • Developed an NLP-based EdTech tool using LLMs and fine-tuning, which boosted personalized learning outcomes and content relevance.
  • Created an automated customer support solution leveraging NLP and LLMs, resulting in improved contextual accuracy and faster query resolution.

Machine Learning Engineer

Micro1 | India | Jun 2023 – Aug 2024

  • Developed a hybrid recommendation system that increased user engagement by 25% and improved conversions by 20%.
  • Engineered model validation pipelines that reduced conversational AI errors by 20%, enhancing user trust and satisfaction.
  • Streamlined model evaluation workflows, increasing precision and cutting iteration cycles by 40%.

Software Engineer Trainee (AI/ML)

LinuxWorld Informatics Pvt. Ltd. | India | May 2021 – Sep 2022

  • Delivered a fraud detection model with 98% accuracy, reducing financial losses by 25%.
  • Built a user behavior prediction model that achieved 96% accuracy and improved ad targeting efficiency by 22%.
  • Designed scalable ML pipelines to automate processes and accelerate model deployment across multiple use cases.