Tactical FPS Brain
I like problems where timing, information, and decisions all matter.
AI lab online
Farzan
AI/ML Engineer_
I build applied ML systems, interpretability experiments, and rough ideas that can survive outside a notebook. Currently studying AI/ML at SRMIST with a 9.35 CGPA.
CGPA 9.35
$ npm run future
compiling ideas...
About
Personal lab notes.
AI/ML student, model tinkerer, systems thinker, and professional over-optimizer of ideas.
I’m an AI/ML engineering student interested in turning research-heavy AI ideas into runnable systems. I like models that can be tested, inspected, and explained without losing the fun of building them.
Transformer interpretability keeps me curious.
Autonomous systems make me think in loops, sensors, and constraints.
Kaggle is where I practice sharper baselines and cleaner comparisons.
Gaming and tinkering taught me to enjoy messy systems with fast feedback.
$ whoami
AI/ML student building useful intelligent systems
$ cat focus.txt
transformers | interpretable AI | autonomous systems | agents
$ status --today
testing ideas, tuning baselines, lifting heavy things
Pattern Hunter
Hidden structure, messy clues, and technical rabbit holes are my comfort zone.
Gym Enthusiast
Progressive overload applies to code, models, and training logs.
AI Agent Curious
I’m interested in tools that can plan, act, and explain themselves.
Systems Builder
SensaNet, robotics-adjacent AI, and industrial intelligence keep pulling me in.
Skills
Tools I actually reach for.
A practical stack for ML experiments, model building, data work, and deployment.
PythonTensorFlowPyTorchOpenAI APIAWS BedrockHugging FaceMLOpsWhisperOpenSMILEKaggleMySQLDockerTransformersAI AgentsComputer VisionNLPPythonTensorFlowPyTorchOpenAI APIAWS BedrockHugging FaceMLOpsWhisperOpenSMILEKaggleMySQLDockerTransformersAI AgentsComputer VisionNLP
AI/ML
Machine LearningDeep LearningComputer VisionMedical Image ProcessingNLP BiomarkersAnomaly DetectionTransfer LearningModel DeploymentSemantic AnalysisLLM APIsAI AgentsResearch
Programming
PythonJavaCC++JavaScriptSQLTypeScript
Frameworks
TensorFlowPyTorchScikit-learnKerasNumPyPandasOpenSMILEWhisperLibrosaOpenAI APIHugging Face
Data + Tools
TableauPower BIExcelAltairData ModelingPredictive AnalyticsAudio ProcessingKaggle
Databases
MySQLPostgreSQLMongoDB
Dev Tools
AWS SageMakerAWS BedrockGitGitHubDockerLinuxREST APIsMLOpsHuggingFace Spaces
Featured builds
Flagship work, sharper signal.
Applied AI systems with enough detail to inspect, discuss, and improve.
Hero build
2025
CogniSafe
Voice-based cognitive decline screening using acoustic features, Whisper transcription, NLP biomarkers, and anomaly scoring.
PythonWhisperopenSMILENLPAnomaly Detection
Applied AI
2025
AgriTech AI
Crop-support AI prototype focused on disease signals, field context, and decision-friendly recommendations.
PythonComputer VisionTensorFlowData AnalysisAPIs
Predictive analytics
2025
Student Dropout Prediction System
Interpretable ML workflow for spotting student risk early through academic, attendance, and engagement signals.
PythonScikit-learnPandasMySQLData Analysis
Medical AI
2025
DermaAI
Two-stage skin lesion pipeline combining ResUNet segmentation with EfficientNetB0 classification on ISIC data.
PythonTensorFlowResUNetEfficientNetB0Medical Imaging
Interface build
2025
ALICE
Desktop assistant interface built with JavaFX, OpenAI models, and a MySQL memory layer for structured conversations.
JavaJavaFXOpenAI APIMySQL
Research playground
Experimental systems lab.
Loose, technical, and exploratory work that shapes the bigger builds.
lab/status
Research before polish.
This is where ideas are allowed to be rough: sensing networks, model probes, technical explanations, and Kaggle experiments that sharpen the real builds.
ConceptResearch idea
SensaNet
Sensor-network AI concept for perception, anomaly detection, and autonomous feedback loops.
AI AgentsIoTEdge AIAnomaly DetectionMLOps
Research directionOngoing
Transformer Interpretability Lab
Small reproducible probes for attention behavior, token attributions, and model failure modes.
TransformersPyTorchHugging FaceInterpretability
Technical communication2025
BLAST Tool Presentation
Technical communication piece explaining sequence alignment, scoring, and search intuition.
BioinformaticsPresentationResearchData Interpretation
ExperimentationOngoing
Kaggle + ML Experiment Shelf
Notebook bench for baselines, feature engineering, cross-validation, and metric-driven iteration.
KagglePythonPandasScikit-learnVisualization
Experience
Professional signal.
A cleaner pass through education, internships, and applied ML practice.
January 2026 - March 2026Internship
AI Deployment & Automation Intern
EduSkills Foundation
Production-minded AI deployment, automation workflows, and MLOps practice across cloud-backed model pipelines.
October 2025 - December 2025Internship
AWS Academy Generative AI Virtual Intern
EduSkills Foundation
Completed AWS Academy tracks in ML foundations, generative AI, and NLP with hands-on model training.
August 2025 - October 2025Internship
Machine Learning Intern
Cognifyz Technologies
Built TensorFlow deep learning workflows and used transfer learning to improve training efficiency.
July 2025 - September 2025Internship
Altair Data Science Master Virtual Intern
EduSkills Foundation
Worked through predictive analytics, regression, classification, clustering, and model evaluation.
April 2025 - June 2025Internship
Google AI-ML Virtual Intern
EduSkills Foundation
Built and optimized TensorFlow models while strengthening practical deep learning fundamentals.
Achievements
Proof points.
Awards, hackathon energy, certifications, and recognitions without turning the page into a trophy wall.
Awards
Techknow 2024-2025 Award Winner
Recognition at SRMIST for technical learning and project momentum.
Hackathons
PYTHONEERS - ACM SIGCHI
Competitive programming and Python-focused technical participation.
Certifications
TensorFlow Developer + AWS Academy
Deep learning, ML foundations, generative AI, and NLP coursework.
Recognition
Altair RapidMiner + Deloitte Analytics
Data engineering, analytics, and applied ML practice across guided programs.
AWS Academy Graduate - ML Foundations, Generative AI, NLPTensorFlow Developer - GoogleAltair RapidMiner Master - ML, Data Engineering, Applications & Use Cases, Platform AdminData Structures & Algorithm - CorizoDeloitte Data Analytics - ForagePYTHONEERS - ACM SIGCHIAWS Academy Graduate - ML Foundations, Generative AI, NLPTensorFlow Developer - GoogleAltair RapidMiner Master - ML, Data Engineering, Applications & Use Cases, Platform AdminData Structures & Algorithm - CorizoDeloitte Data Analytics - ForagePYTHONEERS - ACM SIGCHI
Currently exploring
Ideas in active rotation.
Compact focus areas I keep returning to while building.
Transformers
Attention behavior, token dynamics, and practical model debugging.
AI Agents
Tool-using systems that can plan, remember, act, and explain decisions.
Interpretability
Small experiments that make neural models easier to inspect and compare.
Autonomous Systems
Perception, feedback loops, and edge intelligence for messy environments.
Interactive
Ask Farzan.exe
A terminal-style interface inspired by how I think about systems, AI, and building things.
system logs
[01] booting farzan.exe
[02] loading transformer interpretability modules
[03] syncing Kaggle experiment shelf
[04] calibrating autonomous sensing concepts
[05] warning: overengineering tendency detected
[06] gym.exe running in background
[07] ready for recruiter input
[08] listener online_
ask_farzan.exe response
processing...
$ ask --topic current_focus_
Open to
Useful AI work.
Internships
AI/ML engineering, data science, applied research, and model deployment.
AI Research
Transformers, interpretability, autonomous systems, and human-AI workflows.
Collaborations
Student teams, hackathons, prototype builds, and technical presentations.
ML Engineering Roles
Projects where clean baselines, useful metrics, and deployable systems matter.
Contact
Drop a signal.
For internships, AI projects, research collaborations, or thoughtful model interpretability work.
Signal links
Based in Chennai, Tamil Nadu, India. Available for sharp ML problems, thoughtful AI work, and technical experiments with real constraints.