Rakesh Kumar

Data Scientist

Bengaluru, Karnataka, India4 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and financial data analysis.
Proven track record in developing scalable AI solutions.
Strong background in NLP and Computer Vision applications.

Stackforce AI infers this person is a skilled AI/ML Engineer specializing in Fintech and E-commerce solutions.

Contact

Skills

Core Skills

Generative AiSqlNatural Language Processing (nlp)Computer VisionMlops

Other Skills

AWSAgentsAlgorithmsArtificial Intelligence (AI)Coding PracticesDVCDaskData StructuresDeep LearningFastAPIGitLLMLarge Language Models (LLM)Long Short-term Memory (LSTM)MLflow

About

AI/ML Engineer with a specialization in Generative AI, bringing nearly 4 years of experience in deep learning, MLOps, and building scalable AI solutions. Proficient in end-to-end model development, spanning data preprocessing, LLM inference optimization, and intelligent workflow automation

Experience

4 yrs 10 mos

Total Experience

2 yrs 11 mos

Average Tenure

1 yr 11 mos

Current Experience

Fractal

Data Scientist

Jul 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

Developed a GenAI solution using a multi-agentic RAG, agentic AI applications for in-depth analysis of financial data.
Designed agentic application for generating insights on financial data by developing SQL agent with reasoning capability

Generative AIRAGASRetrieval-Augmented Generation (RAG)SQL

Merkle

Data Analyst

Jul 2021 – Jun 2024 · 2 yrs 11 mos · Bengaluru, Karnataka, India

Designed Visual QnA application and Reverse image search system tailored for fashion image inquiries, utilizing VectorDB and LLM, helping clients in obtaining insights into the pricing of similar products on competitors’ websites
Streamlined data workflows by developing a scalable no/low-code ML workbench for end-to-end Classification and Natural Language Processing pipelines. This platform enhancing operational efficiency and facilitating data-driven decision-making
Built Resume Parser application by training NLP models for extracting key information thereby enhancing HR efficiency through the automation of the screening process
Developed multiple client-specific Computer Vision applications, like object detection and text extraction, assisting our client’s initiatives to incentivize vendors adhering to best practices
Saved almost 90% of manual efforts by building ETL pipeline with Dask for distributed computing and AWS services for automating the workflow. This transformation resulted in an impressive 85% reduction in runtime

Visual QnA applicationReverse image searchVectorDBLLMNatural Language Processing (NLP)Computer Vision+2