About

AI/ML Engineer with 2 years of experience building and deploying production-grade AI solutions and scalable IoT platforms. Expertise spans from RAG-based intelligent chatbots to real-time predictive maintenance systems processing thousands of sensor data points. Proficient in Python, Django, TensorFlow, AWS (IoT Core, EC2, S3), TimescaleDB, MQTT protocols, and vector embeddings, with a strong track record of optimizing both application performance and database operations. Proven ability to architect end-to-end solutions that drive measurable business impact through advanced analytics and automation.

  • Birthday: 15 August 2002
  • Phone: +91 8218452987
  • City: Noida, India
  • Email: sunilgiri.dev@gmail.com

Interests

Software Development

Machine Learning

Chatbot Development

Natural Language Processing

Generative AI

Visualization

Algorithms

Image Processing

Education

Master of Computer Applications

August 2024 - 2026
Relevant Coursework
  • ML & AI
  • Data Structures & Algorithms
  • DBMS
  • Cloud Computing & Distributed Systems

Bachelor of Computer Application

August 2021 - July 2024
Relevant Coursework
  • Data Structures & Algorithms
  • Database Management Systems
  • Operating Systems
  • Algorithms & Optimization for Big Data
  • Python Language

Online Certification

AWS Academy Graduate

Machine Learning with Python

AI/ML Developer

Experience

Presage Insights

March 2025 - Present

AI/ML Engineer

  • Optimized High-Performance Backend Architecture: Led comprehensive Django REST API optimization and database indexing strategies, achieving 50% reduction in API response times and eliminating performance bottlenecks in real-time LLM-powered document processing workflows.
  • Engineered RAG-Based Document Intelligence System: Built end-to-end automated pipeline for document chunking, embedding generation using all-mpnet-base-v2, and Pinecone vectorization—delivering sub-second semantic search capabilities across thousands of technical document segments.
  • Deployed Production-Ready Scalable Infrastructure: Architected intelligent query routing with LLM-based classification and containerized full-stack deployment on AWS EC2 using Docker, Nginx, Celery/Redis, and PostgreSQL—maintaining 99.9% uptime while successfully onboarding 50+ enterprise users in beta phase.

Mobiloitte Technologies India Pvt. Ltd.

June 2024 - March 2025

AI/ML Developer

  • Designed and deployed scalable AI/ML architectures, achieving a 95% accuracy in predictive analytics models.
  • Spearheaded 5+ pre-sales engagements, contributing to a 15% growth in client acquisition and retention.
  • Spearheaded the end-to-end development of products for 5+ clients, implementing scalable backend APIs with efficient load balancing.
  • Optimized AI models, improved model performance by 30%.
  • Developed and managed end-to-end pipelines, containerized entire projects using Docker, Compose, and Jenkins, achieving a 90% automation rate in project deployment.

Projects

  • All
  • Web-App
  • Project

Asset-Support Chatbot for Industrial Equipment

Awareness of Waste Recycling

Chicken Disease Classifier Using MLOPS DVC Pipeline

Image Screening Project

IN CASE OF EMERGENCY

Skills

Languages

Python C/C++ SQL

AI/ML & Analytics

TensorFlow PyTorch Scikit-learn Hugging Face LangChain NLTK Transformers

Cloud & DevOps

AWS Docker Nginx Redis Prometheus GitLab CI/CD

IoT & Real-Time Systems

MQTT Protocol Real-Time Data Processing Sensor Analytics Time-Series Analysis

Databases & Storage

PostgreSQL TimescaleDB TimescaleDB Pinecone Vector DB Redis

Frameworks & Web Technologies

Django Flask REST API Postman Celery

Data Science Tools

Pandas NumPy Asyncio Statistical Analysis Predictive Analytics

Development Tools

Git Jupyter Notebook PuTTY FileZilla

Contact

My Address

Noida, India

Social Profiles

Email

sunilgiri.dev@gmail.com

Contact

+91 8218452987