Summary
Overview
Work History
Education
Skills
Languages
Online Profiles - Linkedin
Certification
Accomplishments
Training
Timeline
Generic

AKANKSHA PANDEY

Pune

Summary

Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills. Accustomed to working with data architects to develop comprehensive data pipelines based on business requirements.

Overview

9
9
years of professional experience
1
1
Certification

Work History

GenAI Engineer

VOIS
Pune
10.2024 - Current
  • Development and implementation of LLMOps solutions for deploying, monitoring, and managing large language models and generative AI systems.
  • Collaborated with data scientists, ML engineers, and product teams to build scalable pipelines for LLM fine-tuning, evaluation, and inference.
  • Ensure responsible AI practices by integrating data anonymization, bias detection, and compliance monitoring into LLM workflows.
  • Develop and maintain monitoring and management tools to ensure the reliability and performance pipleine.
  • Work with stakeholders across the organization to understand their generative AI needs and deliver LLMOps solutions that drive business impact.
  • Stay up-to-date with the latest trends and technologies in LLMOps, generative AI, and responsible AI, and share your knowledge to keep the team at the cutting edge.
  • Troubleshoot and resolve issues related to LLM deployment, scaling, and performance.
  • Experience with LLMOps platforms and tools (e.g., Hugging Face, LangChain, Ray, MLFlow, Kubeflow).
  • Familiarity with prompt engineering, retrieval-augmented generation (RAG), and LLM evaluation frameworks.
  • Experience with data privacy, PII anonymization, and responsible AI practices.
  • Strong knowledge of containerization and orchestration (Docker, Kubernetes).
  • Experience with DevOps, CI/CD, and scalable API development for LLM serving. Passion for the engineering challenges of generative AI and scaling LLM solutions.
  • Experience designing and building LLMOps infrastructure, including data pipelines, model management, and monitoring tools.
  • Deep understanding of LLM architectures (e.g., GPT, Llama) and experience with model fine-tuning, evaluation, and deployment

Senior Data Engineer

VOIS
Pune
09.2022 - 10.2024
  • Leveraged Google Cloud to build and fine-tune robust ETL pipelines, delivering highquality, actionable business-driven data.
  • Built Dataflow jobs to ingest diverse, large-scale data from GCS into BigQuery, enforcing schema & scrubbing data to ensure data integrity.
  • Crafted & executed complex SQL queries & stored procedures in BigQuery, transforming & enriching data across layers for the final business dataset.
  • Orchestrated Data pipelines using Apache Airflow and leveraged Bamboo for CI/CD, ensuring seamless deployments to higher environments.
  • Expertly managed and version-controlled code repositories in Bitbucket, facilitating streamlined development within Agile methodologies.
  • Optimize data processing jobs for performance and cost.
  • Work closely with data architect to understand data requirements and deliver solutions that meet business needs.
  • Communicate technical concepts effectively to both technical and non-technical stakeholders.
  • Participate in agile development processes, including sprint planning, stand-ups, and retrospectives.
  • Debug and resolve technical issues related to data pipelines and infrastructure.
  • Provide support and maintenance for existing data solutions.
  • Continuously monitor and improve data pipeline performance and reliability.

Data Engineer

Tata Consultancy Services
Pune
03.2016 - 09.2022
  • Develop, test and maintenance of DataMart objects using ETL techniques.
  • Developed ETL pipelines using informatica, stored procedures, and views on DB2-based Data Warehouse.
  • To perform data profiling and analysis on source system data to ensure that source system data can be integrated and represented properly in our models.
  • Work directly with Architects/DBA on data modeling, schema design, troubleshooting, debugging, and issue resolution in production environment.
  • Communicate effectively with end users, peers and management regarding assignment of work to provide solutions.
  • Delivering projects within deadlines with high level of data quality and integrity.
  • Provide support for the resolution of all reporting issues escalated by support operations team post implementation.
  • Exposure to JIRA to create a productive, high quality development environment.
  • Efficiently deploying task in production using CI/CD approach through Jenkins.
  • Understanding of requirements of large enterprise applications.
  • Actively contribute and participate in Scrum, daily stands-ups.
  • Sound Knowledge about Batch Processing System.
  • Performance tuning of database SQL queries and informatica mapping, workflows.

Education

B.E. - Computer Science & Engineering

RGPV
Bhopal
01.2015

Skills

  • Rag
  • Artifact Registry
  • Cloud Build
  • VertexAI
  • Docker
  • Kubeflow
  • GCP
  • Cloud Run
  • BigQuery
  • Cloud Storage
  • DataFlow
  • Cloud Functions
  • Data Fusion
  • Cloud Composer
  • Pub/Sub
  • ETL
  • ELT
  • Python
  • GIT
  • Jira
  • Agile
  • Data Warehousing
  • Shell Scripting
  • SQL
  • Machine Learning
  • GenAI
  • SAFe Agile
  • BitBucket
  • Confluence
  • Putty
  • Autosys
  • Unix
  • CI/CD
  • DbArtisan
  • Large language models
  • Version control

Languages

  • English, Proficient
  • Hindi, Native

Online Profiles - Linkedin

www.linkedin.com/in/akankshatripathi-18888ba7

Certification

  • SQL (Basic) Certificate, 2022, Hacker Rank
  • SQL (Intermediate) Certificate, 2022, Hacker Rank
  • Oracle Cloud Infrastructure AI Foundations Associate, 2024, OCI Certified Foundation Associate

Accomplishments

  • Received 'On the Spot Award' for excellent performance in the project.
  • Received the 'Vodafone Star Award' for designing and implementing a cloud function pipeline
  • Designed multiple fact tables with aggregated monthly data so that reporting can be done efficiently.
  • Optimized complex BigQuery script for daily, weekly, and monthly pipelines to perform faster execution.
  • Created multiple Table Functions for reporting tables so that data is not stored on BigQuery Storage and reporting tables can create on top of these table functions which saved a significant amount of storage cost.
  • Created BigQuery External Tables for use case where data was stored in GCS bucket and updated once in a week, so that users can run the SQL queries without the burden of storing data.

Training

  • Preparing for your Professional Data Engineer Journey
  • Advanced BigQuery
  • Machine Learning

Timeline

GenAI Engineer

VOIS
10.2024 - Current

Senior Data Engineer

VOIS
09.2022 - 10.2024

Data Engineer

Tata Consultancy Services
03.2016 - 09.2022

B.E. - Computer Science & Engineering

RGPV

Similar Profiles

CREATE PROFILE
AKANKSHA PANDEY