---
title: "Akash kumar - Senior Data Scientist in Bengaluru | Tal"
description: "Meet Akash kumar, Senior Data Scientist | ML & LLM Systems | Time-Series, Anomaly Detection, Agentic AI | Gold Medalist (MCA, VIT) | Building production-grade AI systems based in Bengaluru. AI stack includes antigravity and codex."
image: "https://tal.club/meet/akash-kumar-3/share-image"
---

# Akash kumar on Tal

## Headline

Senior Data Scientist \| ML & LLM Systems \| Time\-Series, Anomaly Detection, Agentic AI \| Gold Medalist \(MCA, VIT\) \| Building production\-grade AI systems

## About

👋 Hi, I'm Akash Kumar, a Senior Data Scientist with 3\+ years of experience building and deploying production machine learning systems in the power and solar energy domain\. I specialize in developing real\-time ML solutions, including anomaly detection, predictive analytics, and automated data pipelines for industrial systems\. I hold a Gold Medal in MCA from Vellore Institute of Technology and have hands\-on experience working with time\-series data, transformer models, and LLM\-based applications\. Core Stack Python • SQL • Machine Learning • Time\-Series Analytics Flask • REST APIs • Docker • Kubernetes • MQTT LLMs • RAG • LangChain • Transformers I focus on building practical, scalable AI systems that convert complex data into actionable insights\.

## Location

Bengaluru

## AI stack

antigravity

codex

## Work experience

Senior Data Scientist at ExactSpace, Apr 2026 \- Present · 5 mos, Hybrid

Data Scientist at ExactSpace, Jun 2023 \- Mar 2026 · 2 yrs 10 mos, On\-site, • Architected and deployed a zero\-config, self\-service ml orchestration platform enabling non\-technical users to train, benchmark 10\+ algorithms, and deploy models via ui, slashing development cycles by 80%\. • engineered transformer\-based autoencoders for real\-time anomaly detection on high\-frequency time\-series operational data, enabling proactive industrial system maintenance\. • built scalable flask\-based ml apis for real\-time inference, reducing latency and enabling sub\-second anomaly detection for mission\-critical assets\. • implemented robust real\-time data ingestion pipelines using mqtt for continuous monitoring and analytics\. • designed automated ml pipelines featuring drift detection, auto\-retraining, and performance monitoring to ensure model reliability\. • containerized ml services with docker and managed deployments on kubernetes clusters for high availability\. • developed automated reporting systems using python to generate client\-ready pdf/excel insights\. • mentored two adani power engineering teams \(12 members\) in building ml\-based solutions, identifying potential cost savings of 2\.5 crore/year\.

Data Science Intern at ExactSpace, Aug 2022 \- May 2023 · 10 mos, On\-site, • Supported development of ML\-based anomaly detection systems for industrial monitoring\. • Built and debugged REST APIs connecting ML models with production systems\. • Worked with MQTT\-based microservices for real\-time alerts and monitoring systems\.

## Education

Master of Computer Applications \- MCA, Computer Science, Vellore Institute of Technology

BCA, Computer Science, Makhanlal Chaturvedi National University of Journalism and Communication, Bhopal

[View the original profile](https://tal.club/meet/akash-kumar-3)

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