Generative AI Engineer

technogenics

2. - Utilizing LLMs for chatbots, text-generation, text-analysis.
3. - Banking on and utilizing state-of-the-art NLP techniques for easing out SOC teams daily tasks
4. - Making use of BERT, GPT3 and Roberta for Named Entity Recognition
5. - Entities comprised of MALWARE (keylogger, adware, spyware), RANSOMWARE, Threat-Actor, Tools, CVEs, IOCs, Threat-Types, Tactics and Techniques etc
6. - Paddling out Blogs for determining its category ( phishing, smishing, spear-phishing, Social
7. Engineering etc)
8. - Build a Text data annotator
9. - Fashioned an allrounder Web-scraper to find Tactics and Techniques in addition to Threat Intellegence Landscape artifacts
10. - Created multiple data pipelines (ETL) for real-time streaming and searching databases
11. - Worked on Conversational AI, deployed in Threat Intelligence Landscape

Machine Learning Engineer

slashnext

1. Automatic Malicious messages blocking received on mobile
2. Data collection for project,
3. Preprocessing of textual data,
4. Used self-made utilities for preprocessing of textual data,
5. Research on improving recall of the models,
6. Developed a variant of KNN for classification of textual data with higher accuracy and lightweight than KNN
7. Helping endpoints team to deploy this model on app.
9. Classification Model: random forest, decision trees, SVM, LSVM, KNN, naive bayes
10. Additional: Bert, LSTM, GRU,
12. Used Linux, pytorch, sklearn, pandas, csr_matrix, GPUs.Worked on NLP Automatic Malicious messages blocking received on mobile Data collection for project, Preprocessing of textual data, Used self-made utilities for preprocessing of textual data, Research on improving recall of the models, Developed a variant of KNN for classification of textual data with higher accuracy and lightweight than KNN Helping endpoints team to deploy this model on app. Classification Model: random forest, decision trees, SVM, LSVM, KNN, naive bayes Additional: Bert, LSTM, GRU, Used Linux, pytorch, sklearn, pandas, csr_matrix, GPUs.

software engineer

i2c

1. Database management and administration.
2. Bash scripting.
3. Automating DB monitoring.
4. Query reviews and optimization.

FAST-NUCES

COMPUTER SCIENCE