Chandrakanth J profile photo 1 on Tal

Chandrakanth J

AI Engineer | Data Analytics & Generative AI | Python | SQL | Power BI | Building Intelligent Solutions

Mysore

1+ year of work experience

Axion
Apr 20267 mosPresent

Technical Solutions Engineer specializing in building production-grade GenAI systems, with expertise in RAG pipelines, LLM observability, and scalable containerized deployments that drive measurable efficiency gains for enterprise applications. • Architected and deployed production-grade Retrieval-Augmented Generation pipelines using LangChain, optimizing retrieval accuracy and response relevance for internal enterprise use cases. • Implemented end-to-end LLM observability and tracing using Langfuse, enabling real-time monitoring of latency, token usage, and output quality across pipeline stages. • Delivered end-to-end internal automation solutions over a 5 to 6 month engagement, cutting manual operational effort by approximately 65% and improving team turnaround time. • Collaborated cross-functionally with product and engineering teams to translate business requirements into scalable AI architecture, balancing performance, cost, and maintainability. • Built and maintained CI/CD pipelines for AI workflows, reducing release cycles and enabling faster, more reliable iteration on model and pipeline updates. • Improved workflow efficiency by approximately 50% by reducing repetitive manual analysis and validation effort.
Axion
Oct 20257 mosApr 2026

• Drive AI evaluation and benchmarking, combining human judgment, failure-mode analysis, and grader calibration to improve model quality and reliability. • Develop dynamic dashboards, reports, and visualizations using Power BI, Tableau, and Advanced Excel/SQL to translate complex healthcare and enterprise datasets into actionable insights for leadership and marketing teams. • Apply advanced data science techniques, predictive modeling, and statistical analysis—including NLP, sentiment analytics, and risk forecasting—to identify growth opportunities, consumer patterns, and compliance risks. • Build scalable SQL and Python data pipelines to integrate high-volume warranty, manufacturing, customer, and IoT datasets for downstream analytics and AI/ML applications. • Ensure strict data quality and consistency across reporting systems while engineering automated data pipelines and repeatable workflows to streamline analytics operations. • Perform root-cause analysis and statistical modeling on manufacturing and customer data to identify defect drivers and improve product reliability, quality, and operational outcomes.
Bluemind Solutions Private Limited
20241 yr2025

Mysuru, Karnataka, India

• Built interactive Power BI dashboards to track operational KPIs, business performance, and commercial outcomes for manufacturing clients. • Used SQL to extract, join, clean, and analyze operational and financial data from relational databases. • Applied Python with Pandas and NumPy for data cleaning, transformation, exploratory analysis, and reporting automation. • Collaborated with stakeholders to improve reporting accuracy, data visibility, and analysis efficiency. • Developed scenario-based models to evaluate revenue, cost, and operational performance under different business conditions. • Translated business requirements into data models, visual reports, and actionable recommendations for strategic decision-making.
IBM
Sep 20222 mosOct 2022

Completed internship in the field of Artificial and Machine Learning
Edureka
Aug 20227 mosFeb 2023

India

Chandrakanth’s AI Stack

claude code
claude code
codex
codex
cursor
cursor
langchain
langchain
langfuse
langfuse
langgraph
langgraph

Education

ATME College of Engineering, Mysuru

Bachelor of Technology - BTech

ATME College of Engineering, Mysuru

20194 yrs2023
Almabetter

Trainee Data Science, Data Science

Almabetter

20231 yr2024

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Headline

AI Engineer | Data Analytics & Generative AI | Python | SQL | Power BI | Building Intelligent Solutions

About

I’m an engineer who enjoys taking a problem from “something isn’t working” to a solution people can rely on. In my current role, I work across the AI solution lifecycle: understanding the need, exploring possible approaches, building and integrating the system, and improving it for real-world use. I’m especially interested in AI agents and the engineering that makes them useful beyond a demo—clear workflows, thoughtful human review, dependable performance, and responsible use of resources. I value curiosity, practical problem-solving, and working closely with the people who use the systems I help build. My goal is to make complex technology easier to apply to everyday challenges.

Location

Mysore

AI stack

claude code

codex

cursor

langchain

langfuse

langgraph

Work experience

Technical Solutions Engineer at Axion, Apr 2026 - Present · 7 mos, Technical Solutions Engineer specializing in building production-grade GenAI systems, with expertise in RAG pipelines, LLM observability, and scalable containerized deployments that drive measurable efficiency gains for enterprise applications. • Architected and deployed production-grade Retrieval-Augmented Generation pipelines using LangChain, optimizing retrieval accuracy and response relevance for internal enterprise use cases. • Implemented end-to-end LLM observability and tracing using Langfuse, enabling real-time monitoring of latency, token usage, and output quality across pipeline stages. • Delivered end-to-end internal automation solutions over a 5 to 6 month engagement, cutting manual operational effort by approximately 65% and improving team turnaround time. • Collaborated cross-functionally with product and engineering teams to translate business requirements into scalable AI architecture, balancing performance, cost, and maintainability. • Built and maintained CI/CD pipelines for AI workflows, reducing release cycles and enabling faster, more reliable iteration on model and pipeline updates. • Improved workflow efficiency by approximately 50% by reducing repetitive manual analysis and validation effort.

Data Analyst at Axion, Oct 2025 - Apr 2026 · 7 mos, • Drive AI evaluation and benchmarking, combining human judgment, failure-mode analysis, and grader calibration to improve model quality and reliability. • Develop dynamic dashboards, reports, and visualizations using Power BI, Tableau, and Advanced Excel/SQL to translate complex healthcare and enterprise datasets into actionable insights for leadership and marketing teams. • Apply advanced data science techniques, predictive modeling, and statistical analysis—including NLP, sentiment analytics, and risk forecasting—to identify growth opportunities, consumer patterns, and compliance risks. • Build scalable SQL and Python data pipelines to integrate high-volume warranty, manufacturing, customer, and IoT datasets for downstream analytics and AI/ML applications. • Ensure strict data quality and consistency across reporting systems while engineering automated data pipelines and repeatable workflows to streamline analytics operations. • Perform root-cause analysis and statistical modeling on manufacturing and customer data to identify defect drivers and improve product reliability, quality, and operational outcomes.

Data Analyst at Bluemind Solutions Private Limited, 2024 - 2025 · 1 yr, Mysuru, Karnataka, India, • Built interactive Power BI dashboards to track operational KPIs, business performance, and commercial outcomes for manufacturing clients. • Used SQL to extract, join, clean, and analyze operational and financial data from relational databases. • Applied Python with Pandas and NumPy for data cleaning, transformation, exploratory analysis, and reporting automation. • Collaborated with stakeholders to improve reporting accuracy, data visibility, and analysis efficiency. • Developed scenario-based models to evaluate revenue, cost, and operational performance under different business conditions. • Translated business requirements into data models, visual reports, and actionable recommendations for strategic decision-making.

AI/ML Internship at IBM, Sep 2022 - Oct 2022 · 2 mos, Completed internship in the field of Artificial and Machine Learning

Data Science and Machine Learning Internship at Edureka, Aug 2022 - Feb 2023 · 7 mos, India

Education

Bachelor of Technology - BTech, ATME College of Engineering, Mysuru

Trainee Data Science, Data Science, Almabetter