Sameer Nadeem
SYSTEM ONLINE // RESEARCH TERMINAL ACTIVE

Sameer Nadeem

AI/ML EngineerData ScientistDeep Learning ResearcherOpen Source ContributorLLM Fine-TuningP2D Integrator
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/// PROTOCOL: ARCHITECT

Bridging the Gap Between
Theory & Production.

I am a rigorous AI/ML Engineer and Data Scientist driven by the pursuit of precision. My expertise lies in synthesizing cutting-edge academic research — from custom Vision Transformers to deeply optimized LLMs — and architecting them into robust, scalable digital infrastructures.

I don't just build models; I engineer Physical-to-Digital (P2D) integration systems. Whether it's optimizing supply chain logistics through predictive analytics or developing state-of-the-art Deepfake Forensics, my mission is to extract actionable intelligence from chaotic, real-world data and deploy it into high-impact business environments.

Currently contributing to the DeepChem ecosystem via GSoC 2026, integrating OLMo-7B language model architectures to democratize molecular machine learning globally.

Architectural Philosophy

"Algorithms are merely thoughts. Engineering makes them reality. I translate the complexity of mathematical research into the elegance of production-grade systems."

99.9%SOTA Precision Hit
140K+Data Points Handled
650+GitHub Commits
2200+LinkedIn Network

Deep Tech Arsenal

The foundational stack driving my 4D digital architecture.

Intelligence Core

Deep LearningLLM Fine-Tuning (QLoRA / LoRA)Computer Vision & CNNsVision Transformers (ViT)Deepfake & Satellite ForensicsNLP & Text ClassificationMolecular AI / CheminformaticsPredictive AnalyticsAblation Study DesignBusiness IntelligenceData Warehouses & OLAP

Syntax & Libraries

Python (Advanced)95%
PyTorch / TensorFlow90%
HuggingFace Transformers88%
Scikit-Learn / XGBoost92%
DeepChem / OpenCV82%
Pandas / NumPy / Seaborn94%
SQL / C++ / JavaScript78%

Environments & Tools

Google Colab Pro
Jupyter Lab
VS Code
Kaggle Kernels
Anaconda / Conda
Git / GitHub CLI
Next.js / Node.js / MongoDB

AI Research Specializations

Deepfake DetectionSatellite EO / Remote SensingMedical Image AIMolecular Toxicity LLMsDrug Discovery PredictionReal Estate AVMExplainable AI (XAI)Adversarial RobustnessMulti-Spectral ClassificationCheminformatics Benchmarks

Deployment & Integration Stack

FastAPI / FlaskDocker (Learning)Streamlit / GradioHuggingFace HubWeights & Biases (W&B)ONNX ExportREST API DesignMongoDB / PostgreSQLP2D Systems IntegrationGitHub Actions CI/CD

The Laboratory

Abstracting complex models into purely data-driven, scalable, and high-precision architectures.

EXPERIMENT 01 — DEEPFAKE FORENSICS

Deepfake Forensics Architecture

Engineered a highly specialized ablation pipeline combining local texture extraction (CNNs) with global contextual reasoning (ViTs). Analyzed synthetic manipulations across a massive scale to establish a defensive AI baseline.

Architecture FlowResNet-18 → Multi-Scale Features → ViT Encoder → Fusion Head → Binary Classification
View Architecture
Dataset Scale140,000images
Core PipelineResNet-ViTHybrid
SOTA Precision99.92%best in class
F1 Score Max99.39%on validation
EXPERIMENT 02 — SATELLITE INTELLIGENCE
Data SpaceEuroSAT13 spectral channels
EngineHAM + ViTHybrid Attention
Baseline (ANN)64.00%standard approach
SOTA Leap89.00%++25% improvement

Multi-Spectral Intelligence

Transitioned from standard 3-channel RGB to complex 13-channel data. Deployed Hybrid Attention Mechanism (HAM) and ViTs to classify Earth Observation data, detecting minute land-use shifts for environmental intelligence.

Architecture Flow13-Ch Input → Spectral Attention → HAM Fusion → ViT Encoder → Land-Use Labels
Explore Code
EXPERIMENT 03 — MOLECULAR INTELLIGENCE (GSoC 2026)

ChemLLM Toxicity Reasoning

Fine-tuned OLMo-7B with 4-bit QLoRA on multi-target molecular toxicity datasets (Tox21, BACE, ClinTox, BBBP) within the DeepChem TorchModel framework. Probes whether open-weight LLMs can reason over raw SMILES strings to predict pharmaceutical safety and drug-binding properties — pushing language models into the cheminformatics frontier.

Architecture FlowSMILES Input → Tokenizer → OLMo-7B + QLoRA → TorchModel Wrapper → Tox Labels
Flagship GSoC Repo
LLM BackboneOLMo-7BOpen-weight architecture
Quantization4-bit QLoRAMemory-efficient FT
Datasets Used5 Tox DBsTox21 · BACE · ClinTox · BBBP
Ecosystem TargetDeepChemTorchModel integration

Professional Architecture

2026 – Present

Open Source Research Contributor (GSoC 2026)

DeepChem Ecosystem

Spearheading the integration of massive Language Models (OLMo-7B) into DeepChem's architecture. Engineered a rigorous 12-week TorchModel integration roadmap, built LLM pipelines for molecular modeling, and optimized SMILES validation pipelines. Collaborating with global mentors on SOTA cheminformatics benchmarks.

12-week TorchModel roadmap OLMo-7B SMILES pipeline Global mentor collaboration SOTA benchmark optimization
2023 – 2024

Technical Operations & Data Strategist

Al-Quresh Motors

Executing high-level Physical-to-Digital (P2D) integration for industrial operations. Automated supply chain logistics using predictive analytics, implemented data-driven inventory metrics, and translated raw business operations into centralized intelligent digital dashboards.

Supply chain automation Predictive inventory Digital transformation Workflow analytics
2024 – Present

Lead Deep Learning Researcher

AI Research Lab (IUB)

Developing SOTA defensive AI architectures under Professor Talha. Achieved 99.92% precision in Deepfake Forensics over 140K images using ResNet-Transformer hybrids. Leading 13-channel EuroSAT satellite analysis with HAM architectures. Ablation pipelines targeting top-tier Google Scholar publications.

99.92% precision (Deepfake) 140,000 image dataset 13-channel satellite analysis HAM + ViT architectures
2023 – Present

AI Solutions Architect

Freelance (Upwork / LinkedIn)

Consulting and building custom AI pipelines for global clients. Specializing in NLP sentiment analysis, Computer Vision defect detection, and transforming complex Python research scripts into deployable production business assets. Full P2D integration consulting.

Computer Vision pipelines NLP architectures Production deployments AI strategy consulting
1 Year

Strategic Data Operations Analyst

TechSpark Coworking

Led B2B market intelligence and lead generation operations for a coworking ecosystem. Architected CRM data pipelines, conducted deep market analyses, managed lead funnels, and provided startup ecosystem intelligence support to founders and partners.

B2B lead pipelines CRM architecture Market intelligence Startup data support
Ongoing

STEM Educator

Private Instruction

Teaching Computer Science, Mathematics, and Science to Grade 4–8 students. Focus on logical thinking development, technical concept simplification, and building multidisciplinary STEM foundations. Crafting custom curricula for diverse learning styles.

CS & Math instruction Grades 4–8 curriculum Logical thinking focus Multidisciplinary STEM

Building Intelligence

One Model at a Time

Core AI Projects
FEATURED

Deepfake Forensics Hybrid

SOTA ResNet-18 + Transformer Hybrid achieving 99.92% precision over 140,000 images. Engineered an ablation pipeline combining local texture CNNs with global ViT reasoning to establish a defensive AI baseline.

Architecture FlowResNet-18 → Feature Fusion → Vision Transformer → Classification Head
ResNet-18TransformersComputer VisionAblation Study
View on GitHub
Precision99.92%
F1 Score99.39%
Dataset140K imgs

Chest X-Ray Vision Transformer

Advanced ViT ablation study for chest X-ray pathology detection. Comparative analysis of attention mechanisms, patch sizes, and positional encodings for medical imaging diagnostics.

Architecture FlowPatch Embedding → Multi-Head Attention → MLP Head → Pathology Labels
Vision TransformerMedical AIAblation StudyPyTorch
View on GitHub

PropVal AI Real Estate Engine

Production-grade Automated Valuation Model (AVM) using Gradient Boosting for intelligent real estate asset valuation. End-to-end pipeline from raw listing data to deployment-ready predictions.

Architecture FlowData Pipeline → Feature Engineering → Gradient Boosting → AVM Output
Gradient BoostingPropTechFeature EngineeringScikit-Learn
View on GitHub

CogniPath Analytics Engine

AI-driven EdTech analytics engine optimizing academic outcomes via predictive modeling. Identifies at-risk students and recommends personalized learning paths using behavioral data.

Architecture FlowBehavioral Data → Feature Extraction → Ensemble Model → Intervention Signal
EdTechScikit-LearnPredictive ModelingData Analysis
View on GitHub

SpamGuard AI Threat Detection

Enterprise SMS Phishing & Spam Detection system using advanced NLP architectures. Multi-layer text classification pipeline with explainability for real-time threat identification.

Architecture FlowTF-IDF / BERT Embedding → Classifier → LIME Explainer → Alert System
NLPCybersecurityText ClassificationExplainability
View on GitHub
FEATURED

Multispectral Satellite Forensics

13-channel EuroSAT land-use classification using Hybrid Attention Mechanism (HAM) + ViT. Jumped from 64% ANN baseline to 89%+ SOTA accuracy in environmental intelligence extraction.

Architecture Flow13-Ch Spectral → HAM Attention → ViT Encoder → Land-Use Classification
EuroSATHAM13-ChannelEarth Observation
View on GitHub
Accuracy89%+
Baseline64%
Channels13 Band
GOOGLE SUMMER OF CODE 2026

GSoC Research Projects
DeepChem Ecosystem

5Research ReposCheminformatics
4+Git CommitsActive pushes
2+Pull RequestsOpen · Merged
FLAGSHIP CONTRIBUTION GSoC 2026 · DeepChem

ChemLLM-Tox-OLMo

Flagship GSoC contribution: Fine-tuning OLMo-7B with QLoRA for Molecular Toxicity Prediction in the DeepChem ecosystem. Integrates open-weight LLMs into cheminformatics pipelines with a 12-week TorchModel roadmap.

Architecture PipelineOLMo-7B → QLoRA → DeepChem TorchModel → SMILES Tox Labels
OLMo-7BDeepChemQLoRAGSoC 2026
View Flagship Repository
Integration Roadmap12 Weeks
Architecture UsedOLMo-7B
Fine-Tuning MethodQLoRA
Target EcosystemDeepChem
GSoC · Tox21

Mistral7B Tox21 Optimization

Native fine-tuning of Mistral-7B on the Tox21 toxicity dataset using 4-bit QLoRA quantization. Establishes an LLM-based molecular classification benchmark within the DeepChem TorchModel framework.

PipelineMistral-7B → QLoRA Adapters → Tox21 Labels
Mistral-7BTox214-bit QLoRADeepChem
View Repository
GSoC · BACE

Mistral7B BACE Generalization Study

Optimizing Mistral-7B for BACE-1 inhibitor prediction using scaffold-split evaluation. Studies LLM generalization in drug discovery beyond memorization using out-of-distribution molecular scaffolds.

PipelineMistral-7B → Scaffold-Split → BACE-1 Binding Prediction
Drug DiscoveryBACE-1Scaffold-SplitGeneralization
View Repository
GSoC · ClinTox

Mistral7B ClinTox Study

LLM fine-tuning study on the ClinTox dataset for clinical toxicity prediction. Evaluates LoRA adapter efficiency for pharmaceutical safety classification tasks.

PipelineMistral-7B → LoRA → Clinical Toxicity Binary Classification
Mistral-7BClinToxLoRASafety AI
View Repository
GSoC · BBBP

Mistral7B BBBP Molecular Reasoning

Probing Mistral-7B's capacity for blood-brain barrier permeability (BBBP) prediction. Tests whether LLMs can reason over molecular SMILES strings for CNS drug candidate screening.

PipelineSMILES Input → Mistral-7B → BBB Permeability Score
BBBPDrug ScreeningSMILESMolecular Reasoning
View Repository
Additional Projects

AI Voice Assistant

Python-based AI voice assistant integrating speech recognition, NLP intent parsing, and TTS response synthesis. Full pipeline from audio input to intelligent contextual reply.

Speech RecognitionNLPTTSPython
GitHub

Retail Sales Performance Analysis

End-to-end retail data analytics pipeline with advanced visualizations. Identifies KPIs, seasonal patterns, product performance clusters, and demand forecasting signals from raw sales data.

Data AnalysisPandasSeabornForecasting
GitHub

Social Graph Recommendation Engine

Graph-based collaborative filtering recommendation engine using social network topology. Implements Weisfeiler-Lehman graph isomorphism concepts for connection-aware personalized suggestions.

Graph MLCollaborative FilteringNetwork AnalysisWL-Test
GitHub

Academic Foundation

OCT 2023 – MAY 2027

BS in Data Science

The Islamia University of Bahawalpur

CGPA: 3+ / 4.0Active Researcher
Key Courses
Machine LearningAdvanced Machine LearningDeep LearningStatistics & ProbabilityAdvanced StatisticsData WarehousingSoftware EngineeringWeb DevelopmentData VisualizationData Structures & AlgorithmsDatabase Management SystemsLinear AlgebraCalculusDiscrete StructuresBusiness Process AnalysisObject Oriented Programming
APR 2021 – MAY 2023

Intermediate (Pre-Engineering)

Punjab Group of Colleges Bahawalpur

Built strong analytical foundations in advanced Mathematics, Physics, and Chemistry. Active STEP pre-engineering cohort member with ECAT and FUNGAT preparation.

APR 2019 – MAY 2021

Matriculation (Science)

Govt Technical High School Bahawalpur

Core STEM foundation with Biology, Chemistry, Physics, and Mathematics.

1037 / 1100

Top 1% Elite Cohort

Knowledge
Distribution.

"The Accuracy Paradox: Why 95% Accuracy in Medical AI is Often a Lie"

A deep dive into the reality of AI in the medical field. Breaking down the metrics that actually matter — Precision, Recall, F1 — versus the marketing hype of pure "accuracy." Essential reading for true AI architects building in high-stakes domains.

Read Article on Medium

Open Source Ecosystem

Democratizing deep learning through public collaboration.

650+

Commits

github.com

15+

Elite Repos

Active Projects

2,200+

Network

linkedin.com

Elite Credentials

Certified rigorous training and continuous upskilling.

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