---
title: "Chandrakanth J - Technical Solutions Engineer in Mysore | Tal"
description: "Meet Chandrakanth J, AI Engineer | Data Analytics & Generative AI | Python | SQL | Power BI | Building Intelligent Solutions based in Mysore. AI stack includes claude code, codex, and cursor."
image: "https://tal.club/meet/chandrakanth-j/share-image"
---

# Chandrakanth J on Tal

## 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

[View the original profile](https://tal.club/meet/chandrakanth-j)

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