AI Engineer | 6+ Years Experience | Python, LLM, Agents
Actively Looking for Work
-
Computer Vision
-
Backend
-
Data Analysis
-
Data Engineering
-
Data Science
-
DBA
-
DevOps
-
Full Stack
-
Machine Learning
-
Natural Language Processing
-
Product Management
-
Python
-
API
-
Artificial Intelligence
-
AWS
-
Cloud Computing
-
Deep Learning
-
Docker
-
ECS
-
Elasticsearch
-
Flask
-
Git
-
GraphQL
-
Infra
-
MySQL
-
Nginx
-
OAuth
-
SQL
-
TensorFlow
-
Linux
-
Systems Architecture
-
CI & CD
-
Software & Engineering
-
Data & Analytics
-
Product & Project Management
Profile
I’m a Senior AI Engineer and Python Backend Architect with over six years of experience building scalable, production-grade AI systems and data platforms. I specialize in Generative AI, large language models (LLMs), and agentic architectures, and I enjoy designing end-to-end systems that create real business impact. My core strength lies in combining advanced machine learning with solid backend engineering to build intelligent, reliable applications.
Current Position
Currently, I work as a Data Scientist 3 at WIN Home Inspection, where I’ve led the development of multiple AI-driven systems used by 300+ users.
- I built an agentic AI voice assistant that automates inspection scheduling with an 85% success rate, significantly reducing operational costs.
- I’ve also developed LLM-powered chatbots, RAG-based knowledge systems, NLP pipelines, OCR solutions, and computer vision models that have improved efficiency and reduced manual effort across workflows.
Technical Skills
I have strong expertise in Python along with frameworks like FastAPI and Flask, and hands-on experience with AWS, microservices architecture, and real-time systems.
- I’ve designed distributed systems using AWS SQS, EC2, and OpenSearch, and built scalable data pipelines using Airflow, PySpark, and modern data engineering practices.
Previous Experience
Beyond AI, I’ve architected high-performance backend systems, including an algorithmic trading platform supporting multiple broker integrations and handling 100K+ daily API calls with low latency. I focus on clean architecture, scalability, and reliability, supported by CI/CD pipelines, Docker/Kubernetes, and MLOps best practices.
Earlier in my career at Inspektlabs, I worked on computer vision for insurance automation, building deep learning models for vehicle damage detection and fraud analysis using TensorFlow and PyTorch.
Education
I hold a Post Graduate Certification in AI & ML from Caltech and a B.Tech in Computer Engineering from Jamia Millia Islamia. I’m passionate about solving complex real-world problems using AI and building systems that scale efficiently in production.