1/15/2024
Building Scalable ML Pipelines with MLOps
A comprehensive guide to implementing MLOps practices for production machine learning systems.
MLOpsMachine LearningDevOps
Designing delightful experiences and scalable applications
Delivered products that has reached over a millions of users worldwide
About Me
Background
I'm a full-stack developer with a strong foundation in computer science, now specializing in Machine Learning and AI systems. During my internship at ThoughtWorks, I led the development of an ML classification model that increased prediction accuracy from 40% to 92% using ensemble methods like XGBoost. This wasn't just a learning experience — it was a validation of my capability to own high-impact problems and deliver real-world solutions.
Personal Mission
I thrive on solving complex engineering challenges — it's what keeps me curious and motivated. My mission is to architect scalable, intelligent systems that drive automation and innovation. Whether it's improving model performance, building dev platforms, or integrating smart agents into workflows, I aim to build tools that are fast, reliable, and user-centric.
Core Values
I believe in high-velocity learning, writing clean and scalable code, and pushing beyond comfort zones. I learn by doing, debug problems at their root, and iterate fast. Team collaboration fuels my growth — and I take ownership of both successes and failures. Every project is an opportunity to stretch limits and ship with impact.
Quick Facts
- Built ML classification system showcased at ThoughtWorks global engineering demos
- Created full-stack AI platform (CodeNote) used by 1000+ learners
- Delivered PoC Accelerator Platform in 4 weeks, presented to internal leadership
- 3× Hackathon finalist & contributor to open-source projects
- Experience with Google Cloud, Dialogflow CX, and Backstage Developer Portals
Skills & Technologies
Mastery of cutting-edge AI/ML technologies and frameworks that power the future of intelligent systems
🧠
Machine Learning
TensorFlowPyTorchScikit-learnKerasXGBoost
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Deep Learning
Neural NetworksCNNRNNLSTMTransformers
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Data Processing
PandasNumPySparkDaskSQL
👁️
Computer Vision
OpenCVYOLOResNetImage ProcessingObject Detection
💬
Natural Language Processing
BERTGPTSpaCyNLTKHugging Face
🚀
MLOps & Deployment
DockerKubernetesMLflowAWS SageMakerGoogle AI Platform
Model Performance Metrics
Real-world performance benchmarks across different AI models
Currently Learning
|Large Language Models|Reinforcement LearningCareer Timeline
Gamified learning, Monaco Editor, complexity feedback, and leaderboard
2025Achievement
CodeNote AI Platform
Built full-stack platform for AI-powered DSA with LangChain, OpenAI, and Next.js (1K+ users)
Context-aware dynamic flow + API integration
Used XGBoost, App Scripts, Dialogflow, Backstage
Specializing in scalable systems and AI/ML
2023Education
Still OngoingBachelor's in Computer Science
Chitkara University(2023 – Present)9.92 GPA | AI & full-stack focus | Ongoing
AI/ML Projects
Cutting-edge machine learning solutions that drive real business value.
IntelliVision AI
Advanced computer vision system for real-time object detection and facial recognition, processing 10,000+ images per second
99.2%
accuracy in object detection
10K+
images processed per second
NLP Chatbot Platform
Enterprise-grade natural language processing platform with BERT-based models for customer service automation and sentiment analysis.
95%
customer satisfaction rate
24/7
automated support coverage
Predictive Analytics Engine
Machine learning-powered forecasting system for business intelligence, providing real-time predictions with 87% accuracy
87%
prediction accuracy
1M+
data points analyzed daily
Certifications
Cloud2023-11-20
AWS Machine Learning Specialty
Amazon Web Services
ID: AWS-ML-2023-456
Verify Certificate →Cloud2023-07-05
Google Cloud Professional ML Engineer
Google Cloud
ID: GCP-ML-2023-123
Verify Certificate →Data Science2023-03-20
Data Science Professional Certificate
IBM
ID: IBM-DS-2023-789
Verify Certificate →AI/ML2022-11-30
Machine Learning Engineering for Production
Coursera
ID: MLOPS-2022-345
Verify Certificate →External1/10/2024
Optimizing Transformer Models for Edge Devices
Techniques for deploying large language models on resource-constrained devices.
NLPOptimizationEdge Computing
1/5/2024
Computer Vision in Healthcare: Challenges and Solutions
Exploring the implementation of AI-powered diagnostic tools in medical imaging.
Computer VisionHealthcareAI Ethics
Hobbies & Fun Facts
📸
Photography
Capturing moments through the lens, specializing in street and nature photography
Fun Fact: I've taken over 10,000 photos across 15 countries
♟️
Chess
Strategic thinking and problem-solving through the game of kings
Fun Fact: Rated 1800+ on chess.com, love studying endgame theory
🏔️
Hiking
Exploring nature trails and mountain peaks for inspiration and clarity
Fun Fact: Summited 20+ peaks, highest elevation: 14,000 ft
👨🍳
Cooking
Experimenting with flavors and techniques from around the world
Fun Fact: Can cook dishes from 12 different cuisines
📚
Reading
Diving into sci-fi novels and technical books for continuous learning
Fun Fact: Read 50+ books annually, favorite genre: hard sci-fi
💻
Open Source
Contributing to the developer community and building tools for others
Fun Fact: Maintained 5+ popular open source projects
🎯 Current Goal
Learning to play the piano and working on my first machine learning research paper about efficient transformer architectures for edge devices.
AI/ML Partnerships
Collaborating with leading tech companies to build the future of AI
50+
AI Models Deployed
10M+
Data Points Processed
99.5%
Uptime
"The best AI is the one that solves real problems.
Data is the new oil, but intelligence is the refinery"
This philosophy drives my approach to machine learning and artificial intelligence.
🧠
Intelligence
Building systems that learn, adapt, and evolve
📊
Data-Driven
Making decisions based on evidence and patterns
⚡
Scalability
Solutions that grow with your business needs
Client Testimonials
What industry leaders say about our AI/ML solutions
Dr. Sarah ChenHead of AI Research, TechCorp
"Working with this AI/ML engineer has been transformative for our research team. Their deep understanding of neural networks and ability to implement cutting-edge algorithms has accelerated our model development by 40%. The computer vision system they built for us achieved 99.2% accuracy, far exceeding our expectations. Their expertise in both theoretical concepts and practical implementation makes them an invaluable asset to any AI project."
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Michael RodriguezCTO, DataFlow Analytics
"This engineer's contribution to our NLP platform was nothing short of remarkable. They implemented a BERT-based solution that improved our sentiment analysis accuracy by 15% while reducing processing time by 60%. Their ability to scale ML models and optimize for production deployment saved us months of development time. I've never seen someone so adept at bridging the gap between research and real-world applications."
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