GEN AI ENGINEER

AI &
Data Science.

Building intelligent, scalable systems with mathematical precision and human-centric design.

Profile

The engineering mind behind.

"Bridging theoretical research with production-grade AI."

9.11
CGPA / Honors
A+
Engineering Rating
Ashish

Key Domains

  • GEN AI Engineer
  • AI Solutions
  • Cloud (AWS)
  • Data Analytics & Visualization
Availability

Open to high-impact Roles related to AI and Engineering.

Capabilities

What I build and how I think.

A blend of applied AI, analytics, and product-minded engineering for thoughtful, measurable outcomes.

AI Product Development

Designing practical AI experiences that blend reasoning, feedback loops, and measurable outcomes.

  • LLM-assisted workflows
  • Prompt and agent design
  • Evaluation-driven iteration

Data & Analytics Systems

Turning fragmented data into dashboards, decision layers, and reliable reporting pipelines.

  • SQL and BI tooling
  • Cloud-ready analytics
  • Insightful storytelling

Frontend & Product Delivery

Building polished interfaces and product flows that feel simple, fast, and human-centered.

  • Modern UI systems
  • Responsive experiences
  • End-to-end delivery

Research-to-Production Thinking

Bridging experimentation with deployment so ideas can be tested and scaled responsibly.

  • Interpretable AI
  • Model evaluation
  • Applied experimentation
3+
Featured Product Builds
2+
Research & Internship Tracks
5+
Certifications Earned
Academic Research

Thinking.

"XAI: EXPLORING THE BOUNDARIES OF INTERPRETABLE MACHINE LEARNING SYSTEMS."

Research focused on improving transparency in black-box models using SHAP and LIME architectures. Published and verified by peer review.

Read Publication
Professional Stage

Doing.

2026 / FEB - PRESENT Full-time

GEN AI ENGINEER

Developing and deploying generative AI solutions for enterprise applications, focusing on natural language processing and computer vision tasks. Implemented scalable AI pipelines and optimized model performance across various platforms.

2023 / MAY - JUL Internship

AWS VIRTUAL INTERNSHIP

Architected and deployed modular machine learning pipelines using AWS SageMaker. Improving model drift detection by 15%.

2023 / SUM Internship

AMAZON ML SCHOOL

Intensive study of modern transformer architectures and large-scale data systems. Finalist in cohort-wide Kaggle challenge.

Location
India / GMT +5:30

Open to high-impact internships for the 2026 cohort. Let's engineer something meaningful.

© 2025 ASHISH T ALL RIGHTS RESERVED