01
Data Science
Turning raw data into decisions: collection, exploratory analysis, statistical modeling and management of large-scale databases.
- Python
- R
- Pandas
- NumPy
- Statistical Modeling
Open to senior roles & research collaborations
Aamir Jarda
Senior Technical Trainer · Machine Learning Architect
I build and teach intelligent systems across Data Science, Machine Learning, Deep Learning and Agentic AI, with 7+ years spanning industry and academia.
Godhra, Gujarat, Indiaaamir59.a@gmail.com
M.Tech · GATE ×2Computer Engineering
Published researcherGANs · CycleGAN
- Years across ML, AI & engineering education
- 7+
- Research publications
- 3
- GATE qualified, 2019 & 2020
- 2×
- Professional certifications
- 8
Experience across
- Parul University
- BytexL India
- iNurture Education Solutions
- Swarm Technologies
01Expertise
Four disciplines, one practice.
From statistical foundations to autonomous agents: the areas I build in, research and teach.
02
Machine Learning
Designing, training and evaluating models end to end, from classical algorithms to production systems tuned for accuracy and scale.
- scikit-learn
- Decision Trees
- Feature Engineering
- Model Evaluation
03
Deep Learning
Neural networks, GANs and computer vision, including published research on optimizing loss functions in CycleGAN.
- TensorFlow
- PyTorch
- Keras
- GANs
- OpenCV
04
Agentic AI
LLM agents that plan, reason and use tools: multi-agent systems, retrieval-augmented generation and autonomous workflows.
- LangGraph
- RAG
- Multi-Agent Systems
- Hugging Face
02About
Practitioner first, educator by craft.
- Currently
- Senior Technical Trainer, Parul University
- Previously
- Machine Learning Architect, Swarm Technologies
- Education
- M.Tech, Computer Engineering
- Based in
- Godhra, Gujarat, India
- Languages
- English, Hindi, Gujarati, Arabic
Senior Technical Trainer and Machine Learning Architect with 7+ years of experience across Machine Learning, Deep Learning, Data Science and Algorithms, spanning both industry and academia.
In industry, defined the analytics and deep learning roadmap at Swarm Technologies, building production ML algorithms and managing large-scale data systems end to end.
In academia, has designed and delivered hands-on, industry-aligned programs for engineering students across multiple institutions, mentoring them into placement-ready engineers.
M.Tech in Computer Engineering, twice GATE qualified (2019 & 2020), with peer-reviewed research on loss-function optimization in Cycle-Consistent Adversarial Networks.
Currently focused on Generative and Agentic AI: LLM agents that plan, reason and use tools, bringing the same rigor to building them and teaching them.
Toolkit
Python
TensorFlow
PyTorch
Keras
scikit-learn
OpenCV
NumPy
Pandas- LangGraph
- Hugging Face
R
Java
Android
Raspberry Pi
03Experience
Industry depth, academic reach.
From architecting deep learning roadmaps to training the next generation of engineers.
Jun 2026 – Present5 mosCurrent
Senior Technical Trainer
Parul University
- Lead hands-on training in Machine Learning, Deep Learning, Data Structures and Algorithms for engineering students.
- Design industry-aligned curriculum and project-based modules, including Generative and Agentic AI.
- Mentor students through technical interviews, coding assessments and placement drives.
Jul 2023 – May 20262 yrs 11 mos
Senior Technical Trainer
BytexL India Pvt. Ltd.
- Deliver hands-on sessions on core computer science and engineering subjects.
- Prepare students for career placements through job-specific training.
- Drive a research- and exploration-focused learning approach in the classroom.
Jul 2022 – Jul 20231 yr 1 mo
Senior Technical Trainer
iNurture Education Solutions Pvt. Ltd.
- Delivered hands-on sessions on Machine Learning and Deep Learning.
- Trained students for placements and job-oriented roles using research-oriented learning.
- Quickly picked up new skills and applied them to everyday work, improving effectiveness and efficiency.
Mar 2021 – Jun 20221 yr 4 mos
Assistant Professor
Parul University
- Served as Training & Placement Coordinator and Industrial Visit Coordinator for the department.
- Coordinated technical events (Projection, TechExpo, Creato) and departmental workshops.
Apr 2019 – Jan 20211 yr 10 mos
Machine Learning Architect
Swarm Technologies
- Defined the strategy and roadmap for analytics and deep learning frameworks and championed the vision across the organization.
- Collected and analyzed data, created machine learning algorithms, and maintained and managed large databases.
- Applied machine learning and statistical modeling to develop and evaluate algorithms that improved performance, quality, data management and accuracy.
04Projects
Selected work.
Autonomous systems that combine deep learning with agentic reasoning, plus earlier research and applied ML.
01Deep Learning · Agentic AI
NeuroOps AI
Autonomous AI Reliability Engineer
An intelligent system combining Deep Learning and Agentic AI to detect software failures, identify root causes, generate code fixes, and validate solutions automatically.
How it works
- Detect failures
- Find root cause
- Generate fix
- Validate
02Deep Learning · RAG · Multi-Agent
ResearchMind AI
Autonomous Research Assistant
An AI-powered research platform that analyzes scientific papers, extracts insights, identifies research gaps, and generates evidence-based reports using Deep Learning, RAG, and multi-agent systems.
How it works
- Ingest papers
- Extract insights
- Find research gaps
- Write report
03Deep Learning · Agentic AI
AutoML Research Engineer
Autonomous Machine Learning Platform
An intelligent AI system that automates data analysis, feature engineering, model training, hyperparameter tuning, and model evaluation using Deep Learning and Agentic AI.
How it works
- Analyze data
- Engineer features
- Train & tune
- Evaluate
More projects
CycleGAN++
Loss-Optimized Image Translation
A modern PyTorch reimplementation of the M.Tech research on CycleGAN loss functions, adding perceptual and identity loss terms and comparing FID scores against the baseline across horse↔zebra and photo↔painting datasets.
SourceImproving Efficiency of Loss Function in CycleGAN
Researched and improved the loss function of Cycle-Consistent Adversarial Networks for unpaired image-to-image translation. Published in JETIR (2019).
SourceVideo Surveillance
Object Detection on Raspberry Pi
Built a video surveillance system with on-device object detection running on a Raspberry Pi.
SourceGarbage Monitoring System
for Swachh Bharat
Designed a drone-based garbage monitoring system supporting the Swachh Bharat mission.
SourceAlso: Digital Investigation (B.E. project) · Billing System in Java · Zikrullah Tasbih Counter (Android app) · AlphaGo Zero deep-dive · AODV routing protocol presentation.
05Research
Publications
Published work on improving the loss function of Cycle-Consistent Adversarial Networks.
- 2019Journal
Improving Efficiency of Loss Function in Cycle-Consistent Adversarial Network
- 2018Conference
Analysis of Loss Function in CycleGAN
- —Paper
Enhancing the Efficiency of Loss Function in Cycle-Consistent Adversarial Networks
06Credentials
Education & certifications.
Education
M.Tech – Computer Engineering
2017 – 2019G. H. Patel College of Engineering & Technology · CGPA 7.8
B.Tech – Computer Engineering
2013 – 2017Parul Institute of Engineering & Technology · CGPA 8.0
Training & Placement Student Coordinator; volunteered at a workshop on Social Network Analysis.
GATE Qualified
2019 · 2020Graduate Aptitude Test in Engineering, Computer Science
Certifications
- Deep Learning SpecializationDeepLearning.AI
- TensorFlow Developer SpecializationDeepLearning.AI
- IBM AI Engineering SpecializationIBM
- Machine Learning A-Z™Hands-On Python & R in Data Science
- Crash Course on PythonGoogle
- ATAL FDP: BlockchainLNMIIT
- ATAL FDP: Data SciencePunjab Engineering College
- ATAL FDP: Data ScienceIIITM Gwalior
07Contact
Let's build something intelligent.
Open to senior ML and AI roles, technical training engagements and research collaborations. I usually reply within a day.
LocationGodhra, Gujarat, India