United States

Security Engineering

Karthik Tsaliki

Senior ML Engineer

Problem-solving

Critical-thinking

Team player

Airflow

TensorFlow

ChatGPT

CircleCI

Databricks

Golang (Go)

NLTK

Pandas

PyTorch

gRPC

REST API

Airtable

Redis

Node.js

Kafka

Java

JavaScript

Introduce yourself, define mentoring expectations and goals. Learn and grow together.

General mentorship

Talk to people who have learned to manage their imposter syndrome.

Dealing with imposter syndrome

Understanding factors that lead to a motivated team - recognition, communication and more.

Keeping team members motivated

Steps to building and maintaining a strong, cohesive and effective team.

Building an effective team

How to identify star candidates, evaluate technical ability, and close hires

Hiring software engineers

Practice HR, technical and behavioural interviews with mentors.

Practice mock interviews

How to successfully prepare and position yourself for a job promotion?

How to get promoted

How to ask for a promotion and negotiate for salary raise?

Negotiating a job offer

How to think about design career paths and what progression looks like for designers?

Design career path

Manage team expectations and get the most out of your meetings.

Running effective meetings

Identify and define potential product problems and generating possible solutions.

Identifying problems vs solutions

Ways and resources to improve your design skills.

Improving design skills

Navigating the working relationship with PM's and engineers as a designer.

Working with product and engineering

How to conduct interviews, what to ask, and how to analyze your results? (eg. user interview)

Conducting effective customer interviews

• Redefined security with AI using LLMS to create proactive agents.
• Fine-tuned LLMS and automated pipelines from data sources.
• Utilized DBTS to generate state-of-the-art agents.

Product: Cyber Security & Risk:

-> Led the automate network scans and mitigation project which extract threats and vulnerabilities. Which yielded an overall increase in LTV by 3 percent.

-> Implemented a pipeline for auto evaluating the effectiveness of threats present in the network scans using Text classification.

-> Improved the performance of subsidiary service by 85 percent using orchestration in the code.

-> Improved the SLA of onboarding new clients into the platform by 70 percent.

-> Worked closely with product managers for extending the platform for client subsidiaries. Which improved the gross revenue per year by 200 percent.

Product: Content Analytics:

-> Ideated and Developed a large scale solution for extracting various characteristics like emotions/brands present in the video/ads.

-> Pioneer for setting up the Big Data pipeline in Azure for modeling the video effectiveness.

Product: Automated Video Interview Platform:

-> Implemented a Siamese network for finding the semantic similarity between sentences.

-> Instrumental in integrating Indexing tool such as Apache SOLR across distributed databases.

-> Developed a seamless pipeline for semantically comparing documents using TF-IDF, LSTM.

-> Instrumental in developing a web application using Django framework for creating micro service architecture for the machine learning applications. 

-> Pioneer for setting up a workflow for deploying containerised micro services of ML apps in AWS.

Karthik Tsaliki🇺🇸