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Pinaakee Bhardwaj

@pinaakee

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GenAI developer and data engineer building production-grade AI pipelines.

India

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What I'm looking for

I seek roles building production GenAI and data platforms with end-to-end ownership, collaborative teams, cloud-first infrastructure, and opportunities to scale models and pipelines for measurable business impact.

I am a GenAI developer and data engineer with hands-on experience building production-grade AI chatbots, scalable ETL pipelines, and cloud-based data systems using LangChain, OpenAI models, Python, SQL, PySpark, Azure, and GCP. I have designed RAG solutions, prompt engineering workflows, embeddings and custom knowledge bases, and have implemented ML models (CNN, YOLOv5) alongside large-scale data cleaning, feature engineering, and analytics.

I deliver end-to-end solutions with strong documentation, CI/CD and DevOps practices (Jenkins, Docker), and a focus on cross-team collaboration and measurable impact — including a deployed RAG chatbot with 90%+ response accuracy and ETL pipeline efficiency improvements of 25%.

Experience

Work history, roles, and key accomplishments

Data Engineer

Impressico Business Solutions

Oct 2022 - Jul 2023 (9 months)

Developed and deployed AI-powered chatbots and end-to-end ETL pipelines on Azure and GCP, improving pipeline efficiency by 25% and enabling 1M+ record ingestion workflows. Implemented CI/CD with Jenkins and Docker and delivered technical documentation and team knowledge-sharing sessions.

Python Pyspark Azure Data Factory ADLS SQL OpenAI Docker Jenkins

Quality Assurance Intern

4ai.Soft

May 2022 - Jul 2022 (2 months)

Performed manual and functional testing for an insurance claims product, created test scenarios, executed sprints, and validated bug fixes to improve release quality. Collaborated with development and QA teams to streamline release cycles.

Manual Testing Sprint Planning Bug Reporting Collaboration Functional Testing Documentation

Data Labeling Intern

Sciffer Analytics

Dec 2021 - May 2022 (5 months)

Contributed to ML projects implementing CNN and YOLOv5 by labeling datasets and building Python scripts that improved annotation efficiency by 30% and supported model training pipelines.

Data Labeling Python CNN Quality Control

Education

Degrees, certifications, and relevant coursework

University of Delhi

Bachelor of Technology, Instrumentation

2013 - 2017

Grade: 81.53%

Bachelor of Technology in Instrumentation completed at University of Delhi with emphasis on instrumentation and engineering projects, graduating in 2017 with strong academic performance.