Lalkrishna Arjun
Dedicated and experienced Machine Learning Engineer with a strong background in data science, actively contributing to projects demonstrating a commitment to leveraging AI for societal benefit.
- Role
Machine Learning & Deep learning Engineer
- Years of Experience
3 years
- Professional Portfolio
View here
Skillsets
- Python
- MLFlow
- MongoDB
- NumPy
- OpenCV
- OpenVINO
- pandas
- Postgres
- PySpark
- Milvus
- PyTorch
- Qdrant
- Scikit-image
- Scikit-learn
- spaCy
- Transformers
- Vscode
- Yolo
- FastAPI
- Azure
- AzureML
- Celery
- CI/CD
- Docker
- DVC
- Eli5
- Facets
- Apache TVM
- Git
- Google Cloud
- Gradcam
- HuggingFace
- JupyterLab
- Kubernetes
- LIME
- LLM
Professional Summary
3Years
- Aug, 2022 - Present3 yr 7 months
Machine Learning Engineer
NeuralCraft - Sep, 2020 - Aug, 20221 yr 11 months
AI / NLP
Kerala Police Cyberdome, Grapnel
Applications & Tools Known
Python
spaCy
Transformers
LLM
Scikit-Learn
Pandas
OpenCV
Facets
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Docker
Kubernetes
Pyspark
Mlflow
HuggingFace
Azure
Google Cloud
CI/CD
DVC
Postgres
Qdrant
Celery
Vscode
JupyterLab
Work History
3Years
Machine Learning Engineer
NeuralCraftAug, 2022 - Present3 yr 7 months
Implemented data extraction techniques to convert pdf data into a structured format. Created multimodal models for document classification, focusing on layout and content. Employed Large Language Models (LLMs) at different stages of the workflow. Implemented data extraction and cleaning pipelines with Label studio (with ML backend). Developed signature detection and comparison module for document processing. Implemented image denoising, alignment, augmentation for document processing. Developed services and endpoints to enhance the efficiency of document processing pipelines. Optimized models for efficient processing on CPUs.
AI / NLP
Kerala Police Cyberdome, GrapnelSep, 2020 - Aug, 20221 yr 11 months
Developed and trained models for website classification using both transformer-based and classical machine learning approaches. Designed automatic content moderation system for detecting inappropriate webpages and images. Developed a scalable reverse image search system for tracking images across darkweb. Model explainability and analysis with GradCAM, ELI5 and LIME. Delivered all ML subsystems as microservices with FastApi.
Achievements
- Actively contributed to the Kerala Police Open-Source Project Grapnel
- Accumulated 3 years of hands-on practice in data science domains
Major Projects
7Projects
Traffic Analytical System: E2E
End-to-end traffic analysis system leveraging machine learning for data processing and insights.
Studiotic: E2E Content Filtering System
End-to-end content filtering system utilizing AI for moderation and filtering of digital content.
Octagon: E2E AI backed webapp
End-to-end AI-powered web application for advanced data processing and analytics.
Personal Key Indicator: E2E Continuous ML System
Continuous machine learning system for tracking and analyzing personal key indicators.
Malayalam Language Model
Developed a language model for Malayalam using deep learning techniques.
Outfits Search: E2E Reverse Image System
End-to-end reverse image search system for identifying and matching outfits using computer vision.
FarmHealthily: E2E disease detection webapp
End-to-end web application for disease detection in agriculture using machine learning.
Education
Master of Computer Application
Amrita Vishwa Vidyapeetham (2024)Bachelor of Computer Application
Calicut University (2022)
Certifications
Deeplearning specialization - coursera
Image processing for engineering and science specialization - coursera
Machine learning data lifecycle in production - coursera
Mathematics for machine learning: linear algebra - coursera
Perform foundational data, ml, and ai tasks in google cloud - qwiklabs
Build and deploy machine learning solutions on vertex ai - qwiklabs
Mathematics for machine learning: multivariate calculus - coursera
Python data structures - coursera
Processing data with python - coursera
Google it automation with python specialization - coursera