Description

Certified AWS and Azure Machine Learning Engineer with 4+ years of experience delivering production-grade NLP, Machine Learning, and Generative AI solutions. I specialize in building and deploying end-to-end AI systems that solve real-world business challenges—from predictive modeling and chatbots to GenAI-driven automation. Proven track record of improving efficiency, reducing costs, and delivering actionable insights through scalable cloud-based solutions.

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Recordsure,
NLP Data Scientist
February 2023 - May 2023 (3 months)
London, UK
• Reduced project timeline by 30% by automating topic annotation by training and fine-tuning BART.
- Automated their whole cycle till model evaluation using Git action and bash scripting
MasterCard,
Lead Data Scientist
August 2023 - Today (2 years and 10 months)
Mumbai, Maharashtra, India
• Reduced runtime of merchant deduplication model by 85% (from 6 minutes to 90 seconds) Pinecone vector database, PySpark, information retrieval.
• Eliminated outsourcing, saving $800K annually by deploying a GPT model for transaction data cleansing.
• Saved ~$1.6M by deploying unique merchant ID creation model using word embedding, Pinecone vector database and ANN algorithm enhancing fraud detection accuracy by 16%.
Engine B,
Junior Data Scientist
October 2021 - February 2023 (1 year and 4 months)
London, UK
• Deployed string similarity recommendation model using NLP techniques (e.g., tokenization, stemming, lemmatization, regex, word embeddings, cosine similarity) with ~94% accuracy.
• Reduced runtime 90 to 18 sec for 50K+ column names by optimizing recommendation model with Hugging Face BART and scaled the solution.
• Trained and deployed NER model (SpaCy) for contract entity extraction with 0.92 precision & 0.86 recall.