Abhishek Jain

AI Researcher

Bengaluru, Karnataka, India3 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led AI-driven solutions for credit risk modeling.
Expert in optimizing MLOps pipelines on AWS and GCP.
Awarded in Smart India Hackathon 2020 for AI/ML project.

Stackforce AI infers this person is a Fintech professional with expertise in AI-driven solutions and cloud-based machine learning.

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Skills

Core Skills

Machine LearningData ScienceSoftware Development

Other Skills

AI AgentsAI agentsAI-driven document taggingAI/ML modelsAWS LambdaAWS SageMakerAWS Step FunctionsAgile MethodologiesAmazon S3Amazon SQSAmazon Simple Notification Service (SNS)Amazon Web Services (AWS)Android DevelopmentArtificial Intelligence (AI)C++

About

Hi, I'm Abhishek Jain, a Senior Data Science Engineer with a strong background in pre-processing data, pipeline creation, and natural language processing. At Finacplus, I lead a team collaborating with Toorak Capital, a US-based client, to develop innovative loan processing platforms. Starting as a Software Development Intern, I quickly advanced to a key role, managing AWS services, enhancing AI/ML models, and leading the migration to GCP. I specialize in creating multitenant systems, optimizing MLOps pipelines, and implementing end-to-end AI model deployments. My technical expertise spans AWS, GCP, Python, Java, C++, and Node.js. I hold a B.Tech in Computer Science from RGPV University, graduating with honors. I was awarded in the Smart India Hackathon 2020 for an AI/ML project on agriculture. Currently, I'm pursuing my AWS Certified Solutions Architect - Associate certification to further enhance my skills.

Experience

3 yrs 9 mos

Total Experience

3 yrs 9 mos

Average Tenure

3 yrs 9 mos

Current Experience

Finacplus

3 roles

Senior Data Science Engineer

Promoted

Jul 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

As a Senior Data Science Engineer at FinacPlus, I lead the development of AI-driven solutions for credit risk modeling, document classification, and loan processing automation. I specialize in GenAI, LLMs, and AI agents, leveraging CrewAI to build intelligent automation workflows. My expertise includes developing chatbots for customer interactions and retrieval-augmented generation (RAG) systems using LangChain, FAISS, and Hugging Face embeddings. I have extensive experience in MLOps, optimizing machine learning pipelines on AWS SageMaker and Vertex AI, and deploying scalable AI solutions using GCP services like Pub/Sub and GCS. Additionally, I lead a team of five engineers, ensuring the seamless integration of AI models into production environments to enhance efficiency and decision-making in financial services.

GenAILLMsAI agentsMLOpsAWS SageMakerVertex AI+3

Data Science Engineer

Jul 2022 – Jun 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

As a Data Science Engineer at FinacPlus, I focused on enhancing AI/ML models for document classification, loan processing automation, and credit risk assessment. I played a key role in migrating workflows from AWS to GCP, optimizing machine learning pipelines using Vertex AI, Pub/Sub, and GCS. My expertise includes working with LLMs, AI agents, and GenAI, leveraging CrewAI to automate decision-making workflows and developing chatbots for financial services. I implemented retrieval-augmented generation (RAG) systems using LangChain, FAISS, and Hugging Face embeddings, ensuring efficient document processing. Additionally, I contributed to secure backend development, creating data encryption services and integrating MLOps best practices for seamless AI deployment.

AI/ML modelsGCPVertex AILangChainFAISSHugging Face embeddings+2

Software Development Intern

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India · On-site

As a Software Development Intern at FinacPlus, I worked on AI-driven document tagging models and contributed to secure backend development. I developed a data encryption service to ensure secure document processing and storage. Additionally, I optimized machine learning pipelines for document classification and text processing, leveraging NLP techniques. My work involved integrating AI models into production environments and enhancing system efficiency through automated data workflows.

AI-driven document taggingdata encryption serviceNLP techniquesSoftware DevelopmentData Science