Sathwik P.

Product Manager

Bengaluru, Karnataka, India5 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a patented resume parser model.
Led a team of 8 data annotators.
Specialized in NLP and deep learning.

Stackforce AI infers this person is a Data Scientist specializing in NLP and Machine Learning for SaaS applications.

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Skills

Core Skills

Natural Language Processing (nlp)Machine LearningData AnalysisArtificial Intelligence (ai)

Other Skills

Azure CloudAzure DatabricksC (Programming Language)Data AnalyticsData CleaningData ScienceData VisualizationDeep LearningEmbedded SystemsFastAPIFeature EngineeringGPT-4GloVeInternet of Things (IoT)Java

About

Data Scientist specializing in NLP and deep learning. Proven track record fine-tuning transformer models for insightful text analysis. Recognized for developing a cutting-edge resume parser model with a filed patent and a resume and job description matching model. Leading a team of 8 data annotators at AVUA International, skilled in the complete Data Science lifecycle. Certified in Data Science and Advanced Data Science. Eager to contribute skills and drive data-driven decisions in innovative projects.

Experience

5 yrs 1 mo

Total Experience

2 yrs

Average Tenure

1 yr

Current Experience

Rekindle technologies

Data Science and Analytics Specialist (Head of Data)

Jun 2025 – Present · 1 yr · Bengaluru, Karnataka, India · On-site

Avua

Data Scientist

May 2023 – May 2025 · 2 yrs · Chandigarh, India · On-site

Transformer Models: Actively worked on fine-tuning RoBERTa, BERT, and Transformer-XL models for specific tasks, extracting insights from textual data.
Embedding Models: Utilized Word2Vec and GloVe for effective text representation and analysis.
Text Data Cleaning: Employed NLP techniques to clean and preprocess text data, ensuring high-quality input for machine learning models.
Resume Parser Model: Developed a state-of-the-art resume parser model that effectively extracts key information from resumes, filed a patent for its uniqueness.
Hiring Process Enhancement: Created a machine learning model to match job descriptions with candidate resumes and recommend top candidates, improving hiring efficiency.
Resume Classification: Applied the Random Forest algorithm to classify resumes into different domains (IT, Finance, Pharma, Energy) based on relevance and qualifications.
Speech-to-Text Applications: Integrated OpenAI's Whisper model for advanced speech recognition capabilities in various projects.
AI Interview Model: Built an AI-powered interview model using GPT-4, enhancing the interview process and candidate evaluation.
Team Leadership: Led and managed a team of 8 data annotators, fostering collaboration and ensuring successful project completion.
API Development: Built high-performance APIs using FastAPI for efficient handling of machine learning and data processing applications.