Architecture Projects Experience Contact Resume ↓
AI / ML Engineer  ·  Python Developer  ·  LLM Orchestration

Building
Intelligent
Systems.

End-to-end AI/ML pipelines, agentic LLM systems, scalable REST APIs, and computer vision — engineered from model training to production deployment.

View Engineering Work Get In Touch
3+
Models Deployed
500+
Daily API Requests
60%
Ops Efficiency Gain
8.0
CGPA / 10
01 / Core Architecture

Technical Stack

Categorised by domain. Comfortable across the full AI/ML development lifecycle.

Language & Runtime
Pythonprimary
SQLrelational
C / C++systems
HTMLmarkup
AI / ML Engineering
TensorFlow / Kerasdeep learning
Scikit-learnclassical ml
OpenCV + dlibcomputer vision
CNNs / NLParchitectures
EDA & Feature Eng.data pipeline
LLM & Agentic Systems
LangChainorchestration
LangGraphagent graphs
RAG Pipelinesretrieval
Groq / LLM APIsinference
Prompt Engineeringdesign
Backend & APIs
FastAPIprimary
Flaskmicro-framework
REST API Designarchitecture
MySQL / SQLitepersistence
Data & Visualisation
NumPy / Pandasdata wrangling
Matplotlib / Seabornvisualisation
Streamlit / Gradiodemo ui
Deployment & Tools
Render / Vercelcloud deploy
Git / GitHubversion control
Linuxos
VS Codeide
Arduino IDEembedded
3+
Production Deployments
5
End-to-End Projects
2
Cloud Platforms
3mo
Industry Internship
ascii_kernel_telemetry.py // LangGraph_State_Engine
LIVE DEMO
// ASCII Neural Attention Map  FRAME: 0001
482 t/sToken Rate
128kContext
0.0142Eval Loss
// Live Inference Pipeline Log
02 / Engineering Work

Featured Projects

Case-study style. Each built end-to-end from architecture to deployment.

01
Live LLM Pipeline
AI Conversational Agent
Multi-turn LLM chatbot with persistent session memory via ConversationBufferMemory, real-time streaming responses via Groq LPU inference, deployed on Streamlit Community Cloud.
Stack
Python LangChain Groq Streamlit
Architecture
InferenceGroq LPU
MemorySliding Buffer
ContextStateful
StreamingReal-time
GitHub → Live ↗
02
Computer Vision · Edge
Real-Time Face Recognition Attendance Engine
Edge CV pipeline detecting 68 facial landmarks at 30+ FPS using dlib deep metric learning. Auto-logs to MySQL with zero duplicate registrations.
Stack
OpenCV dlib Python MySQL
Pipeline Metrics
Modeldlib ResNet
Landmarks68 Keypoints
FPS30+
StorageMySQL
GitHub →
03
Deep Learning · CNN
Image Classification — Deep Learning Pipeline
End-to-end CNN with data augmentation, batch normalisation, dropout regularisation. Class-activation maps for interpretability, confusion matrices for diagnostics.
Stack
TensorFlow Keras NumPy Matplotlib
Diagnostics
RegularisationDropout + BN
Interpret.CAMs
EvalConfusion Matrix
GitHub →
04
NLP · Analytics
Data Analytics Dashboard & NLP Text Classifier
TF-IDF + Logistic Regression text-classification wrapped in Flask dashboard deployed on Render. Enables non-technical stakeholders to query predictions without code.
Stack
Pandas Scikit-learn Flask Render
Model Info
FeaturesTF-IDF
ClassifierLogistic Reg.
DeployRender Cloud
GitHub → Live ↗
05
Embedded · IoT
IoT Smart Sensor Monitoring System
Full-stack IoT prototype: C/C++ firmware, custom PCB via EasyEDA, mechanical enclosure in Fusion 360. UART serial telemetry streaming from hardware to dashboard.
Stack
Arduino C/C++ EasyEDA Fusion 360
Hardware Stack
MCUArduino
PCBEasyEDA
CADFusion 360
GitHub →
03 / Experience

Milestones

Professional work history, academic background, and verified credentials.

Jul – Sep 2025
3 months
AI Developer Intern
AbyM Technology Pvt. Ltd. — Noida, UP
  • Engineered and deployed 3+ production AI/ML models using Python, Scikit-learn & TensorFlow solving real client problems.
  • Designed FastAPI & Flask REST endpoints on Render and Vercel handling 500+ daily requests with zero downtime.
  • Implemented LangChain & LangGraph pipelines — reduced manual monitoring effort by 60%.
  • Maintained 100% on-time delivery rate across all tasks over the 3-month engagement.
FastAPI LangChain LangGraph TensorFlow Render Vercel
2022 – 2026
4 years
B.Tech — Artificial Intelligence & Data Science
Arya College of Engineering — RTU, Jaipur, Rajasthan
  • CGPA: 8.0 / 10  ·  Graduating 2026
  • Core coursework: Machine Learning, Deep Learning, NLP, Computer Vision, Data Structures, Algorithms, Database Systems.
Certifications
AI Developer Intern Completion CertificateAbyM Technology · Oct 2025
Advanced C/C++ Programming CertificationSpoken Tutorial, IIT Bombay · 2023
HTML Training CertificationSpoken Tutorial, IIT Bombay · 2024

Let's build
something
consequential.

~ jks@ml-node-01:contact.sh
$ whoami
Jitendra Kumar Saini — AI/ML Engineer

$ echo $EMAIL
Jitendra205saini@gmail.com

$ cat status.txt
Jaipur, IN · Open to remote & relocation
$ 
Direct Dispatch
Jitendra205saini@gmail.com
Send Email ↗
~ interactive shell — try: skills, github, help
jks@ml-node-01:~$ ./query_status.sh
> Open for AI/ML, Python Backend, LLM Systems roles...
Type a command below. Try: whoami, skills, github, clear
jks@ml-node-01:~$ Enter