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Vishaal M.VM

Vishaal M.

Building AI Agents, Agentic Ai , MLOps, DevOps

€400/day
Barcelona, ES
15+ years

Average response time: 1 hour

About Vishaal

Artificial Intelligence Experience:
Proficient in fine-tuning Large Language Models (LLMs) using Low-Rank Adaptation (LoRA)
and Parameter-Efficient Fine-Tuning (PEFT) techniques
Experienced in building Retrieval-Augmented Generation (RAG) applications utilizing
frameworks such as LangChain, LangFlow, LangGraph, and Langsmith to enhance
information retrieval and generation capabilities.
Skilled in designing and implementing AI agents and agentic AI systems, leveraging
LangFlow and LangGraph to develop advanced AI engineering solutions .

Expertise in creating and deploying AI chatbots customized for specific applications using
Streamlit or React JS for front-end interfaces, integrating with underlying LLMs to deliver
conversational experiences.
Hands-on experience with Hugging Face Transformer models using PyTorch.

supervised and unsupervised learning approaches for data-driven AI
model training and evaluation, applying appropriate techniques based on task requirements.
Experienced in deploying, managing, and monitoring machine learning models on AWS
platforms such as AWS SageMaker and AWS Bedrock.

Data Engineering:
Expert in designing, developing, and deploying scalable ETL pipelines leveraging AWS
technologies including AWS Glue, Glue Jobs, Step Functions, CodePipeline, CodeBuild, S3,
EC2, CloudFormation, CloudWatch, SNS, and Lambda functions.
Proficient in data processing and transformation using PySpark within Glue environments
and managing Glue Data Catalog tables for schema management
Strong experience implementing CI/CD workflows for data pipelines
Skilled in data ingestion, transformation, and loading from multiple sources such as APIs,
databases, and files into target systems
Skilled in creating and managing AWS S3 buckets with datasets in
multiple formats including Parquet, CSV, and JSON for optimized storage and query
performance.
Exp. developing RESTful APIs using Python and integrating them
seamlessly with AWS services
  • Spanish

    Native or bilingual

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Boehringer Ingelheim GMBH,
    Lead Data Engineer
    July 2022 - Today (3 years and 11 months)
    Barcelona, Spain
    Data Engineering: Expert in designing, developing, and deploying scalable ETL pipelines leveraging AWS technologies including AWS Glue, Glue Jobs, Step Functions, CodePipeline, CodeBuild, S3, EC2, CloudFormation, CloudWatch, SNS, and Lambda functions. Proficient in data processing and transformation using PySpark within Glue environments and managing Glue Data Catalog tables for schema management and query optimization via Athena. Experienced in monitoring and alerting of data pipelines through CloudWatch to ensure reliability and prompt incident response. Strong hands-on experience implementing CI/CD workflows for data pipelines and infrastructure automation using GitHub and Bitbucket. Skilled in data ingestion, transformation, and loading from multiple sources such as APIs, databases, and files into target databases including DynamoDB, PostgreSQL, and Snowflake. Skilled in creating and managing AWS S3 buckets with efficient organization of datasets in multiple formats including Parquet, CSV, and JSON for optimized storage and query performance. Comprehensive expertise in building and managing end-to-end cloud infrastructure on AWS including EC2 instances, load balancers, VPCs, and networking components ensuring secure and robust deployment environments. Extensive experience developing RESTful APIs using Python and integrating them seamlessly with AWS services such as API Gateway and Lambda for serverless architecture solutions.
  • Boehringer Ingelheim
    Lead ETL Specialist & API Integration & Developer, Automation
    PHARMACEUTICALS INDUSTRY
    July 2019 - Today (6 years and 11 months)
    Barcelona, Spain
    • Currently working in a Data Integration project, as a AWS Senior developer for building endto end data flow system for data processing.
    • DBT for data modelling with snowflake, creating incremental snapshots, Materializations,SCD Type2
    • Setting up end to end architecture for performing etl process like building pipelines,managing etl jobs, workflows.
    • Technologies used are AWS Glue , S3, Apache PySpark, Step functions, Code Pipelines ,Airflow , Athena , Data Catalog and SNS.Developing the data catalog for veeva systems like promomats & medcomms.
    • Data cataloging for documents, reports , relationships and entities.Used Airflow for ETL job orchestration with step functions and Glue with Pyspark.
    • I bring the profound knowledge understanding how to integrate the different system with API and different Technologies like salesforce, epic, veeva, Clinical Trials, Publishers,Webinar, Digital Asset Management’s tool also at the same time developing the effective strategies to make data available with compliance and Quality.
    Artificial Intelligence Experience

    • Create LLM Models from scratch, Fine tuning LLM Models(using LoRA) PEFT
    • Create RAG Application using LANGCHAIN/ LANGFLOW Framework
    • AI Agents / Mutli Node - Agents or Agentic AI Engineering
    • Creating and Deploying AI chatbots with specific use case
    • Hugging Face transformers with pytorch , tokenizers library
    • Supervised and Unsupervised learning
    • MCP Server Architecture designing and deployment
    • AWS Bedrock, Aws Sagemaker (deploying & monitoring model)
    AWS Glue PySpark ETL Python3 Amazon SageMaker
  • Boehringer Ingelheim GMBH
    ETL, API Integration ,Automation Dev
    January 2019 - January 2022 (3 years)
    Integrated 3rd-party APIs such as Google Search Console, Google AdWords, Zoom, and Microsoft Teams (Webinars) to automate and streamline data retrieval and reporting processes across various platforms. Developed and maintained automated Python scripts for ETL, data processing, and system performance optimization, improving platform efficiency and reducing manual intervention. Designed and implemented end-to-end ETL processes on the AWS platform, facilitating secure, scalable, and reliable data movements between sources and target systems. Performed advanced web data API integrations to extract, normalize, and analyze key performance indicators, driving actionable business insights. Led the development and management of Tableau reports, from project planning to delivery, enabling stakeholders to visualize and interpret business-critical KPIs. Utilized PostgreSQL and Exasol databases for data transformation, aggregation, and backend automation, supporting real-time analytics and enhanced reporting capabilities. Process Innovation & Governance: Created automation applications and scripts to track and monitor data statistics, ensuring the integrity and accuracy of business data flows. Developed tools that reinforce process and platform governance, bolstering compliance and operational consistency across digital projects. Actively contributed innovative solutions and strategic ideas to support governance frameworks and digital agency operations. Championed the adoption of novel approaches in the PATSU Platform Project, fostering a culture of continuous improvement and technological innovation. Devised strategies to address and resolve complex technical requirements, leveraging automation and analytical technologies to deliver robust, scalable solutions.

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Education

  • Master's degree, Business, Management, Marketing, and Related Support Services
    EAE BUSINESS SCHOOL
    2016
    Master's degree, Business, Management, Marketing, and Related Support Services
  • PGDBAC, Application Programming
    CDAC
    2009
    PGDBAC, Application Programming

Skill set

Categories