Open to opportunities

Aakash Kumar

@aakashkumar5

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Senior Data Scientist specializing in machine learning and AI solutions.

India

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What I'm looking for

I am looking for opportunities that foster innovation and allow me to work on cutting-edge AI projects, with a focus on collaboration and continuous learning.

I am a Senior Data Scientist with a passion for leveraging machine learning and AI to drive business value. Currently, I work at Arya.ai, where I architected an end-to-end Cash Flow Forecasting and Credit Assessment System for a global investment bank. My role involves integrating multiple data sources and implementing MLOps best practices, ensuring that our solutions deliver measurable results across the finance industry.

My expertise extends to developing and deploying advanced AI models, such as the Qwen vision language model for automated invoice extraction and fine-tuning Mistral-7B-Instruct for financial risk classification. I have successfully built production-ready microservices architectures and led cross-functional teams in transforming FinTech platforms into enterprise-grade solutions. My technical leadership has been instrumental in scaling production ML systems and developing generative AI applications that enhance customer engagement and deliver personalized recommendations.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Arya.ai

Aug 2021 - Present (3 years 11 months)

Architected and deployed an end-to-end Cash Flow Forecasting and Credit Assessment System for a global investment bank, integrating multiple data sources and ML pipelines with MLOps best practices. Developed and deployed a Qwen vision language model for automated invoice extraction on-premises, implementing a multimodal AI system that processes financial documents with high accuracy.

MLOps Qwen Vision Language Model Mistral 7B Instruct 4 Bit Quantization Computer Vision Microservices Faiss RAG Architecture PyTorch Pandas scikit learn

Business Analyst (Intern)

Quantiphi

Apr 2021 - Aug 2021 (4 months)

Developed machine learning solutions using PyTorch for diverse industry applications, demonstrating expertise in communicating technical concepts to both technical and non-technical stakeholders. Built production-grade ML workloads on cloud platforms, applying data science best practices and optimization methodologies to deliver business value.

Machine Learning PyTorch Cloud Platforms Data Best Practices Optimization Technical Communication

Data Scientist (Intern)

Technokart Consultancy Services

May 2020 - Mar 2021 (10 months)

Implemented machine learning pipelines for customer data analysis using pandas and scikit-learn, developing solutions that enhanced customer engagement and business value through data-driven insights. Contributed to ML system architecture leveraging computer vision and NLP techniques to solve industry-specific problems.

Machine Learning Pipelines Data Analysis Pandas scikit learn Computer Vision NLP

Education

Degrees, certifications, and relevant coursework

NMIMS' MPSTME

Bachelor of Technology, Data Science

Grade: 3.47/4 CGPA

Activities and societies: Relevant Coursework: Computer Science, Statistics, Engineering, Machine Learning, Deep Learning, Natural Language Processing, and Operations Research

Studied Data Science, covering core concepts in Computer Science, Statistics, and Engineering. Focused on Machine Learning, Deep Learning, Natural Language Processing, and Operations Research.