Key accomplishments

Relevant Work Experience:

1. **Associate Tech Lead at Zycus:**
– Managed the Risk-Bot software engineering pipeline, enhancing project delivery and securing initial customers.
– Improved the F1 score for location extraction in text from 63% to 92%.
– Developed dynamic Python scripts for data handling in databases and leveraged machine learning for entity categorization and text translation.

2. **Expert Data Scientist at Aranis:**
– Reduced backend silicon chip testing time and costs by optimizing feature selection for predicting failures.
– Enhanced Information Retrieval for SEO using advanced NLP models.
– Employed Autoencoders for anomaly detection in chip signal integrity.

3. **AGI Intern at Times Internet:**
– Enhanced face detection and recognition on custom Asian facial datasets using FaceNet and MTCNN.

 

Projects:

1. **Sentiment Analysis of Mixed Text:**
– Implemented majority voting with SVM and Naïve Bayes on WordToVec embeddings, securing 2nd place in an NLP tool contest.

2. **MLOps and Prompt Engineering with Llama-2 on SageMaker:**
– Deployed Llama-2, employing various prompt engineering techniques and optimized AI output parameters.

3. **ETL Pipeline on AWS for Data Warehousing, Transformation, and Visualization:**
– Automated Spotify song data warehousing, leveraging AWS services for storage, ETL, data querying, and visualization.

4. **Global Health Information Analysis:**
– Developed a search engine for extracting and analyzing global health news.

5. **Game Deployment on EKS with Fargate Compute:**
– Deployed the 2048 game on AWS using EKS with Fargate, managed with kubectl, eksctl, and AWS CLI.

6. **ERP Tool for Hadoop Cluster Setup:**
– Developed a UI for custom Hadoop-v2 cluster configurations on Docker, automated with Ansible.

 

Skills:

– Proficient in multiple OS, programming languages, and database technologies.
– Experienced with various frameworks, including TensorFlow, PyTorch, Docker, and Kubernetes.
– Skilled in cloud services, notably AWS.
– Expertise in machine learning, NLP, model deployment, and data visualization.

Role 1
Machine learning engineer
Role 2
Nlp engineer
Test Score
AI, Machine learning, Data Science
100%
B2b software and services > engineering product and design
full-time 40-hours-per-week
Any
Graduate
United States
Any
NA
Hybrid
Willing to work for equity + rewardsWilling to work for equity and paid projectsWilling to work for stock and paid projects

Tags

AITechFintechHealthtech

Education

Experience

Expertise

Machine Learning
100
Artificial Intelligence
100
Generative AI
100
Natural Language Processing
100
Amazon Web Services (AWS)
100
Python
100
Prompt Engineering
100
MLOps
100
LLMOps
100
LLMOps
100
Optical Character Recognition (Tesseract)
100
Sentiment Analysis
100
Entity Extraction
100
Search Engine Optimization
100
Anomaly Detection
100
Data Visualization
100
Large Language Models
100
Model Deployment
100
Recommendation Systems
100
ML Frameworks (Keras, TensorFlow, PyTorch)
100
Big Data and Automation (Docker, Ansible, Hadoop)
100

Honors & awards

  • 2017

    2nd Position in International Conference on NLP

    Secured 2nd place in an NLP tool contest by implementing majority voting with SVM and Naïve Bayes on WordToVec sentence embeddings for classifying Hindi-English mixed text into sentiment classes, achieving 70% accuracy. Conference paper link: https://drive.google.com/file/d/1dPFHv-tpxq7JP-jM1zgDrlHOizkMU7AV/view?usp=sharing

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