Hi, I'm Ajmal đź‘‹
Sr. AI/ML Engineer @ Express Analytics | AI & Customer Analytics. Passionate about turning data into meaningful insights.
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About

Hi, I'm Ajmal Aksar. I've developed hands-on skills in programming and problem-solving, with a strong focus on tackling challenges through practical projects. I enjoy exploring new ideas—whether it's collaborating with professionals, working on innovative solutions, or applying data to create meaningful impact. Outside of data and code, I turn to reading and gaming to recharge and spark fresh perspectives. Let's connect to discuss opportunities, share insights, or collaborate on exciting projects!

Work Experience

E

Express Analytics
Current

Feb 2026 - Present
Sr. AI/ML Engineer
  • Contributed to kAInet, Express Analytics' agentic AI solution that builds launch-ready marketing campaigns in minutes with direct Google Ads deployment.
  • Designed and implemented an AI-driven marketing intelligence platform, streamlining campaign strategy and execution.
  • Enabled rapid creative asset generation and audience research, significantly reducing time to market.
  • Developed and integrated multiple specialized AI agents for research, campaign building, and image generation.
  • Leveraged advanced ML algorithms to facilitate detailed asset creation directly from user inputs.
  • Optimized the platform for user engagement and efficiency.
  • Collaborated with cross-functional teams to ensure seamless integration of AI technologies.
E

Express Analytics

Feb 2025 - Feb 2026
Data Engineer
  • Spearheaded full-stack development initiatives to deliver a production-ready platform with optimized workflow automation.
  • Designed and developed an AI-Powered Medico-Legal Record Review System, enhancing operational efficiency.
  • Achieved 80% reduction in manual workload, streamlining review cycles to fractions of traditional processing times.
  • Drove operational cost reductions to 25% of previous manual workflows.
  • Attained 85% accuracy rate, surpassing baseline manual accuracy by 10%.
  • Leveraged ML algorithms to enhance data processing capabilities.
M

MindKraft 2024

Nov 2023 - Feb 2024
Web Developer
  • Developed an interactive website for a National-Level Techno-Management Fest using Next.js, React, and TailwindCSS.
  • Collaborated with a team of 5, integrating NextUI and FlowBite for improved UI components.
  • Implemented Firebase for backend services, including user data storage and authentication.
  • Hosted the solution on Amazon AWS.
I

Intel Corporation

May 2023 - Jul 2023
Machine Learning Engineer
  • Engineered a Fake News Detection Model using the BBC News Dataset, achieving 98.95% testing accuracy.
  • Fine-tuned model parameters: precision 98.72%, recall 99.08%, F1 Score 98.90%, AUC 98.95%.
  • Analyzed model performance using confusion matrices and ROC curves, ensuring robust detection with minimal overfitting.
C

CyberSecurity Club, Karunya Institute

Aug 2022 - Aug 2023
Head of Technical Services
  • Developed engaging presentations for club events and ensured seamless functioning of technical services.
  • Coordinated and managed events, led technical teams, and supervised their activities.
  • Facilitated knowledge sharing among club members.
I

IBM

Jan 2023 - Feb 2023
Frontend Developer
  • Completed online courses on IBM SkillsBuild platform, acquiring proficiency in Front End technologies.
  • Developed practical skills in creating user-friendly and visually appealing websites.
  • Implemented a live website as the final project, showcasing learned skills and creativity.
C

Cisco

May 2022 - Jun 2022
Python Developer
  • Focused on Python Programming tasks and projects, gaining hands-on experience through practical learning.
  • Developed expertise in implementing Python use cases across a wide range of concepts.
  • Successfully executed a final project using Python as a showcase of learning.

Skills

Data Engineering
Data Pipelines
Data Architecture
Python
Machine Learning
AI & LLMs
React
Next.js
TailwindCSS
AWS
Firebase
OCR
RAG Systems
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

kAInet - Agentic AI for Marketers

Agentic AI solution that builds launch-ready marketing campaigns in minutes. Answer guided questions, let AI structure campaigns with keywords and creative, then review and launch directly to Google Ads. Accelerates campaign build, creative design for testing, and post-launch visibility.

Agentic AI
LLMs
Google Ads
Campaign Automation
Python
Machine Learning

Customer Analytics Platform

Spearheaded the design, development, and deployment of a comprehensive Customer Analytics Platform at Express Analytics, delivering multiple production-grade models that provide actionable business insights for customer behavior analysis and prediction.

Python
Machine Learning
Data Engineering
AWS
Arize Phoenix
CI/CD
Data Pipelines

Medico-Legal Record Review System

Led the creation of an AI-powered Medico-Legal Record Review system with OCR, intelligent document processing, and customized report generation. Achieved 80% reduction in manual workload, 25% cost reduction, and 85% accuracy surpassing baseline by 10%.

OCR
Document Processing
Python
Machine Learning
Data Engineering
Report Generation

RAG Chatbot Solution

Engineered a fully automated, end-to-end production website integrated with a Retrieval-Augmented Generation (RAG) chatbot solution, delivering seamless user interaction and real-time responses using LLM providers including Groq, Mistral, and Anthropic.

RAG
LLMs
Groq
Mistral
Anthropic
Python
Web Development
Real-time Processing

Agentic Interview Platform

Building an agentic interview platform enabling resume screening and preliminary online video interviews with a company virtual avatar. Designed based on direct feedback from a local company's hiring needs. Currently in development.

Agentic AI
LLMs
Resume Screening
Video Avatars
Python
Web Development

Fake News Detection Model

Engineered a high-performance Fake News Detection Model using the BBC News Dataset, achieving 98.95% testing accuracy. Fine-tuned model parameters to enhance precision (98.72%), recall (99.08%), and F1 Score (98.90%) with comprehensive performance analysis using confusion matrices and ROC curves.

Machine Learning
Python
Natural Language Processing
Model Optimization
Data Analysis
Performance Metrics

MindKraft 2024 Website

Developed an interactive website for a National-Level Techno-Management Fest using modern web technologies. Collaborated with a team of 5 to create an engaging user experience with enhanced UI components, Firebase backend integration, and AWS hosting for scalability.

Next.js
React
TailwindCSS
NextUI
FlowBite
Firebase
AWS
Team Collaboration
Projects & Leadership

I like building things

During my time in university, I participated in 2+ significant projects and leadership roles. From developing websites for national-level events to leading technical teams, these experiences taught me the power of collaboration and technical innovation in creating meaningful solutions.

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    MindKraft 2024 - National-Level Techno-Management Fest

    Coimbatore, Tamil Nadu, India

    Developed an interactive website for a National-Level Techno-Management Fest using Next.js, React, and TailwindCSS. Collaborated with a team of 5, integrating NextUI and FlowBite for improved UI components, with Firebase backend and AWS hosting.
  • C

    Cybersecurity Club Leadership

    Karunya Institute of Technology and Sciences

    Led technical services for the cybersecurity club, developing engaging presentations, coordinating events, and facilitating knowledge sharing among members. Supervised technical teams and ensured seamless functioning of club activities.
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.