โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ AI/ML ENGINEER & RESEARCHER PROFILE โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฃ
โ โ
โ ๐ฌ ML Research โ ๐ค LLM Systems โ ๐ Data Analytics โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โข NLP & CV โ โข RAG Pipelines โ โข Predictive Models โ
โ โข Deep Learning โ โข Agent Systems โ โข BI Dashboards โ
โ โข Model Tuning โ โข Vector DBs โ โข Statistical Analysis โ
โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Specialization: Designing production-grade AI/ML systems combining deep learning, large language models, retrieval augmented generation, computer vision, and advanced analytics to deliver measurable business impact.
| ๐ Achievement | ๐ Description | ๐ Year |
|---|---|---|
| ๐ฅ Top ML Contributor | Government AI research initiatives | 2024 |
| ๐๏ธ Academic Publication | NLP & Computer Vision systems research | 2023-24 |
| ๐ Innovation Award | Advanced RAG system deployment | 2024 |
| โญ Open Source Contributor | LangChain, Hugging Face ecosystems | 2023-24 |
| ๐ฏ 70%+ Accuracy Gains | Production ML model optimization | 2023 |
| ๐ก AI Solution Architect | End-to-end ML pipeline design | 2022-24 |
Connect with me on LinkedIn for:
- ๐ฌ ML Research Updates & Publications
- ๐ผ Professional Collaborations
- ๐ Technical Articles & Insights
- ๐ฏ AI/ML Industry Trends
%%{init: {'theme':'dark', 'themeVariables': {'primaryColor':'#667eea','primaryTextColor':'#fff','primaryBorderColor':'#764ba2','lineColor':'#f093fb','secondaryColor':'#667eea','tertiaryColor':'#764ba2'}}}%%
graph TB
A[Data Collection & Preprocessing] --> B[Feature Engineering]
B --> C[Model Selection]
C --> D{Model Type}
D -->|Supervised| E[Classification/Regression]
D -->|Unsupervised| F[Clustering/Dimensionality]
D -->|Deep Learning| G[Neural Networks]
D -->|LLM/RAG| H[Generative AI]
E --> I[XGBoost/LightGBM/CatBoost]
F --> J[K-Means/DBSCAN/PCA]
G --> K[CNN/RNN/Transformers]
H --> L[GPT-4/Claude/Llama]
I --> M[Hyperparameter Tuning]
J --> M
K --> M
L --> M
M --> N[Model Evaluation]
N --> O[Deployment & Monitoring]
O --> P[Continuous Learning]
P --> A
style A fill:#667eea
style M fill:#764ba2
style O fill:#f093fb
style P fill:#667eea
|
๐ต Supervised Learning models = {
"Classification": [
"Random Forest",
"XGBoost",
"LightGBM",
"Neural Nets"
],
"Regression": [
"Linear/Ridge",
"Gradient Boost",
"Deep Learning"
]
} |
๐ฃ Deep Learning architectures = {
"NLP": [
"BERT",
"GPT",
"T5",
"RoBERTa"
],
"Vision": [
"ResNet",
"EfficientNet",
"Vision Trans."
]
} |
๐ข Unsupervised techniques = {
"Clustering": [
"K-Means",
"DBSCAN",
"Hierarchical"
],
"Reduction": [
"PCA",
"t-SNE",
"UMAP"
]
} |
๐ก Reinforcement algorithms = {
"Model-Free": [
"Q-Learning",
"DQN",
"PPO"
],
"Model-Based": [
"MCTS",
"AlphaZero"
]
} |
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ DATA ANALYTICS PIPELINE ARCHITECTURE โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฃ
โ โ
โ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโ โ
โ โ Extract โโโโโถโ Transform โโโโโถโ Load โ โ
โ โ (ETL) โ โ (Process) โ โ (Warehouse) โ โ
โ โโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโ โ
โ โ โ โ โ
โ โผ โผ โผ โ
โ [APIs/DBs/Files] [Data Quality] [SQL/NoSQL] โ
โ [Web Scraping] [Feature Eng] [Data Lake] โ
โ [IoT Streams] [Aggregation] [Cloud Store] โ
โ โ โ
โ โผ โ
โ โโโโโโโโโโโโโโโโ โ
โ โ Analytics โ โ
โ โ & Insights โ โ
โ โโโโโโโโโโโโโโโโ โ
โ โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโ โ
โ โผ โผ โผ โ
โ [Power BI] [Streamlit] [Plotly] โ
โ [Tableau] [Dash Apps] [Custom UI] โ
โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
- โ Descriptive Analytics: Historical data analysis, KPI tracking, trend identification
- โ Diagnostic Analytics: Root cause analysis, correlation studies, anomaly detection
- โ Predictive Analytics: Forecasting, regression models, time series analysis
- โ Prescriptive Analytics: Optimization algorithms, recommendation systems, decision support
- โ Real-time Analytics: Streaming data processing, live dashboards, alert systems
| Project | Category | Tech Stack | Highlights | Metrics | Status |
|---|---|---|---|---|---|
| ๐ค Multi-Agent RAG System | LLM/RAG | LangChain โข GPT-4 โข Pinecone โข Redis | Autonomous agents, tool orchestration, conversation memory | 70%+ accuracy | ๐ข Live |
| ๐ Predictive Analytics Suite | ML/Analytics | XGBoost โข Prophet โข Streamlit | Time series forecasting, anomaly detection, auto-reporting | 85% F1-Score | ๐ข Live |
| ๐๏ธ Vision Intelligence Platform | Computer Vision | YOLOv8 โข OpenCV โข FastAPI โข Docker | Real-time object detection, OCR, video analytics | 92% mAP | ๐ข Live |
| ๐๏ธ Multimodal Retrieval System | ML Research | CLIP โข LlamaIndex โข Qdrant | Image+Text search, hybrid embeddings | 78% recall | ๐ก Beta |
| ๐ฌ NLP Chatbot Framework | NLP/LLM | BERT โข Rasa โข Transformers | Intent classification, entity extraction, context handling | 89% accuracy | ๐ข Live |
| ๐ BI Dashboard Generator | Data Analytics | Power BI โข Python โข SQL | Automated dashboard creation, KPI monitoring | 15+ dashboards | ๐ข Live |
| ๐ Semantic Search Engine | NLP/Embedding | Sentence-BERT โข FAISS โข Flask | Dense retrieval, re-ranking, query expansion | 0.12s latency | ๐ข Live |
| ๐งช AutoML Pipeline | MLOps | Optuna โข MLflow โข Scikit-learn | Hyperparameter tuning, experiment tracking, model registry | 3x faster | ๐ข Live |
| ๐ Document Intelligence | OCR/NLP | LayoutLM โข EasyOCR โข spaCy | Form extraction, table detection, entity linking | 94% accuracy | ๐ข Live |
| ๐ฏ Recommendation Engine | ML | Collaborative Filtering โข ALS โข TensorFlow | Personalization, cold-start handling, A/B testing | 0.78 NDCG | ๐ข Live |
๐ง Large Language Models & Generative AI
- โ Model Fine-tuning: LoRA, QLoRA, PEFT techniques for domain adaptation
- โ Prompt Engineering: Zero-shot, few-shot, chain-of-thought, ReAct patterns
- โ RAG Systems: Dense retrieval, hybrid search, re-ranking, query decomposition
- โ Agent Frameworks: LangChain agents, AutoGPT, multi-agent orchestration
- โ LLM Evaluation: BLEU, ROUGE, BERTScore, human evaluation protocols
- โ Deployment: API optimization, caching strategies, cost management
๐ฌ Machine Learning Research & Development
- โ Deep Learning: CNNs, RNNs, Transformers, GANs, VAEs, attention mechanisms
- โ NLP: Named Entity Recognition, sentiment analysis, text classification, summarization
- โ Computer Vision: Object detection, segmentation, image classification, video analysis
- โ Model Optimization: Quantization, pruning, knowledge distillation, mixed precision
- โ Research Publications: Academic papers on NLP and CV systems
- โ Experimentation: A/B testing, statistical significance, experimental design
๐ Data Analytics & Business Intelligence
- โ Statistical Analysis: Hypothesis testing, regression, ANOVA, time series
- โ Data Visualization: Interactive dashboards, storytelling with data, executive reports
- โ SQL Mastery: Complex queries, window functions, CTEs, query optimization
- โ ETL Development: Data pipelines, orchestration, data quality monitoring
- โ Predictive Modeling: Forecasting, classification, clustering, anomaly detection
- โ BI Tools: Power BI, Tableau, Streamlit, Plotly, custom dashboards
๐ ๏ธ MLOps & Production ML
- โ Model Deployment: REST APIs, batch inference, real-time serving
- โ Monitoring: Model drift detection, performance tracking, alerting systems
- โ Containerization: Docker, Kubernetes, orchestration, scaling
- โ CI/CD: Automated testing, deployment pipelines, version control
- โ Experiment Tracking: MLflow, Weights & Biases, model registry
- โ Cloud Platforms: AWS SageMaker, Azure ML, GCP Vertex AI
๐๏ธ Computer Vision & OCR
- โ Object Detection: YOLO, Faster R-CNN, RetinaNet, custom model training
- โ Image Segmentation: U-Net, Mask R-CNN, semantic/instance segmentation
- โ OCR Solutions: Tesseract, EasyOCR, PaddleOCR, handwriting recognition
- โ Document AI: Layout analysis, table extraction, form understanding
- โ Video Analytics: Action recognition, tracking, frame analysis
- โ Image Processing: Enhancement, restoration, augmentation pipelines
| Research Area | Title/Focus | Collaboration | Year | Impact |
|---|---|---|---|---|
| ๐๏ธ Government AI | Policy frameworks for AI adoption | Public sector initiatives | 2024 | Policy implementation |
| ๐ Academic Research | Advanced NLP systems for low-resource languages | University collaboration | 2024 | Published paper |
| ๐๏ธ Computer Vision | Real-time object detection optimization | Research lab | 2023 | Conference presentation |
| ๐ฌ Open Source | LangChain & Hugging Face contributions | Community | 2023-24 | 500+ stars collectively |
| ๐ Data Science | Predictive analytics in healthcare | Medical research | 2023 | Clinical adoption |
|
Accuracy Boost
|
Speed Increase
|
Automation
|
Dashboards
|
ML Models
|
- ๐ฆ LangChain: Custom tools, documentation improvements, bug fixes
- ๐ค Hugging Face: Model cards, dataset contributions, demo applications
- ๐ Streamlit: Analytics components, visualization templates
- ๐ Vector DBs: Integration examples, performance benchmarks
- ๐ Documentation: Technical guides, tutorials, best practices
๐ Interests: LLM Applications โข Computer Vision โข Predictive Analytics โข MLOps โข Research Publications
๐ Location: Kerala, India
๐ผ LinkedIn: View Professional Profile

