Abishek T

AI Researcher

Chennai, Tamil Nadu, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced cloud costs by 60% with innovative AI solutions.
Trained over 300 data enthusiasts for industry readiness.
Developed tools enhancing operational efficiency by 70%.

Stackforce AI infers this person is a Cloud Computing and AI specialist with a focus on training and development.

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Skills

Core Skills

Artificial IntelligenceMachine LearningCloud AutomationData Analysis

Other Skills

StatisticsAmazon Web Services (AWS)Amazon EC2TerraformJenkinsStreamlitAWS EMRAutomationJavaJava Database Connectivity (JDBC)Graphic DesignContent writingReinforcement LearningMLOpsArtificial Intelligence (AI)

About

As an AI & ML Developer, Data Scientist, and Trainer, I’m passionate about building intelligent systems and empowering learners to turn data into innovation. With hands-on experience in machine learning, cloud automation, and scalable application development, I bridge the gap between technical execution and real-world impact. At my previous role, I developed an AI-powered AWS EMR Instance Optimizer — a machine learning solution that reduced cloud costs by 60%, improved runtime by 75%, and achieved 87% prediction accuracy. I also built the Control-M Job Comparison Tool using Streamlit, automating job analysis with 100% accuracy and reducing manual effort by 70%. Currently, I serve as an AI & ML Trainer at an Nirmaan organization, where I design and deliver workshops on Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Generative AI — helping students gain practical industry-ready skills and confidence to build real-world projects. Core Skills & Expertise: • Artificial Intelligence, Machine Learning, NLP, Deep Learning • Data Analytics, Power BI, Python, SQL • RESTful API & Cloud Automation (AWS, Terraform, Jenkins) • Streamlit & AI-Powered Web Applications • AI Training, Curriculum Design, and Career Coaching Combining my background in software development and data science with my passion for teaching, I aim to create AI-driven solutions that are not only efficient — but also empowering for the next generation of innovators.

Experience

1 yr 9 mos

Total Experience

1 yr

Average Tenure

9 mos

Current Experience

Nirmaan organization

AI/ML - Trainer / Developer

Sep 2025 – Present · 9 mos · Chennai, Tamil Nadu, India · On-site

StatisticsData AnalysisArtificial IntelligenceMachine Learning

Fidelity investments

Full Stack Developer apprentice

Mar 2024 – Mar 2025 · 1 yr · Chennai, Tamil Nadu, India

Developed secure RESTful APIs using Spring Boot and spring security. Created and maintained test cases, execution,
and plans for SIT, UAT, and PRE_PROD. Managed sprint tasks via Jira.
 Built AWS infrastructure using Terraform and automated daily deployments vis Jenkins. Tested AWS EMR jobs(daily,
weekly, monthly) ensuring successful file extraction and delivery to AXWAY file transfer.
 Ran ad-hoc AWS EMR jobs to collect, clean and analyze data for various instance types, workloads, and snowflake
sizes and control-m job data from CLI commands benchmarking results in DB/Excel.
 Designed and developed an AI-driven ML- powered recommendation system for AWS EMR instance type selection.
Built a streamlit application for AWS EMR optimization and control-m job comparison.
 Proactively spearheaded the ideation, POC and full scale development of an AI-powered SMART AWS EMR
INSTANCE OPTIMIZER now a critical tool adopted across the organization.
 Reduced EMR costs by 60% by optimizing instance selection.
 Improved job execution efficiency by 75%, minimizing runtime delays, ensuring strict adherence to SLAs.
 Improved model accuracy to 87% in predicting ensuring better cost efficiency, performance optimization.
 Decreased manual effort by 40%, automating instance selection and eliminating guesswork.
 Empowered data engineering and DevOps teams with interactive visualizations in streamlit and
automated benchmarking for data-driven decision-making.
 Took the initiative to conceptualize, conduct POC, and develop a streamlit based CONTROL-M JOB COMPARISON
TOOL, now widely adopted across the organization. This tool:
 Increased operational efficiency by 70% by automating job comparisons and eliminating manual effort.
 Achieved 100% accuracy in job difference detection, ensuring error-free analysis.
 Reduced job troubleshooting time by 80%, leading to faster issue resolution.
 Enhanced visibility with last modified tracking.