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Rajkumar Lakshmanamoorthy

Machine Learning | Generative AI | NLP | Computer Vision

Machine Learning Engineer at Akrivia Automation Private Limited, Hyderabad, India

Profile Summary

Tools and Technologies

General Purpose Language Python 3
ML Frameworks TensorFlow, Keras, PyTorch
ML Libraries SciKit-Learn, SciPy, LightGBM, CatBoost, XGBoost, statsmodels
Data Wrangling & Analysis NumPy, Pandas
Data Visualization MatplotLib, Seaborn
Generative AI LLMs, RAG Pipeline, LangChain, LlamaIndex, GPT, Gemini, Prompting, Indexing, Chunking, LLM Finetuning
Natural Language Processing NLTK, spaCy, HuggingFace, Transformers, NER, Sentiment Analysis
Computer Vision OpenCV, Pillow, SciKit-Image, Timm, TorchVision
Graph Networks NetworkX, DGL
Data Mining and Scraping BeautifulSoup, PRAW, requests
Version Control System Git, Git-LFS
Query Language SQL
Databases MySQL, SQLite3, MongoDB, Chroma DB, PineCone DB
Cloud AWS (S3, EC2, Rekognition)
IDE Jupyter, Spyder, Anaconda, PyCharm, Shellbr

Internship and Relevant Experiences

1. Akrivia Automation Private Limited, Hyderabad - Machine Learning Engineer

Duration: Currently working – since Jan 2022
Role: Building end-to-end NLP models and processes for resume parsing and resume ranking

2. Analytics India Magazine, Bengaluru – Data Science Intern

Duration: 3 months – Mar 2021 to May 2021
Role: Writing articles in Machine Learning, Deep Learning, Data Analysis, NLP, Computer Vision, and Time-series – Extensive Literature Review
Link to works: https://analyticsindiamag.com/author/rajkumaranalyticsindiamag-com/

ML Forum

Link to profile: https://kaggle.com/rajkumarl Kaggle 3x Expert – Datasets, Notebooks, Discussions

ML Blogs

Link to Blogs: https://rajkumargalaxy.github.io/r/blogs

Written so far 70+ blogs, tutorials and review articles in Machine Learning, NLP, Computer Vision and Python-OOP

ML Projects

Link to Projects: https://rajkumargalaxy.github.io/r/projects

Key Certifications

Data Science Domain (Jan 2021)-NPTEL-IITs

1. Programming, Algorithms & Data Structures Using Python CMI, Chennai 88 %
2. Python for Data Science IIT Madras 89 % [Topper 1%]
3. Introduction to Machine Learning IIT Madras 78 % [Topper 5%]
4. Practical Machine Learning Using TensorFlow Google and IIT Madras 86 % [Topper 2%]
5. Deep Learning IIT Kharagpur 80 %
6. Applied Natural Language Processing CMI, Chennai 71 %
7. Data Analytics with Python IIT Roorkee 83 % [Topper 5%]

Education

Masters in Engineering – Engineering Design – 8.6/10 CGPA
5th University Rank, Anna University 2014-2016

Bachelors in Engineering – Mechanical Engineering – 88.4%
13th University Rank, Anna University 2006-2010

Interests

Contact

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