Close

Shahzeb Lakhani

Full time Computer Science and Business Administration Student at USC

Part time Software Engineer

Download Resume

About Me

My quant experience has honed my ability to rapidly process information, enabling me to distill complex problems into clear, actionable insights. When combined with my startup background -- spanning multiple industries and necessitating constant adaptation -- it enables me to tackle problems creatively and decisively, irrespective of domain. Blending analytical precision and execution speed has been key to building AI systems and deploying scalable solutions that drive real-world impact.

Recommendations

Dr. Mohammed Habeebvulla

Principal AI Engineer @APIsec | Ph.D. in Computer Science

About:

As a Principal AI Engineer at APIsec, he applies his 18+ years of R&D experience and his PhD in Computer Science to design and implement cutting-edge solutions for cybersecurity using artificial intelligence and machine learning.


Recommendation Image

Download Recommendation

Anukool Lakhina

Co-Founder, CEO @BurnBot, Inc. | Partner @Convective Capital

About:

Anukool is the CEO of BurnBot, Inc., where he leads efforts to scale vegetation fuels treatment to prevent destructive wildfires. He also serves as a partner at Convective Capital, investing in early-stage wildfire solutions.


Recommendation Image

Download Recommendation

Dave Piskai

Head of Product @APIsec

About:

As Head of Product at APIsec, Dave Piskai is a seasoned expert in API security with a background in Sales Engineering at Splunk and SignalFx. Recognized as FY22 AMER Buying Center 'Person of the Year,' he's dedicated to securing APIs.


Recommendation Image

Download Recommendation

Raj Ramanathan

VP Engineering & AI @APIsec

About:

Raj is a technology and product development leader with extensive experience in engineering high-performance teams. As VP of Engineering & AI at APIsec, he drives innovation in security automation and AI solutions.


Recommendation Image

Download Recommendation

Experience

Cerebro Sports

AI Product Engineer

  • Formulated product strategy, aligning business objectives and technical initiatives to drive targeted growth
  • Devised predictive models to enhance the product's analytic capabilities, improving explained variance by 40%

Optiver

Quantitative Trading Intern

  • Analyzed historical data to inform trading decisions and develop strategy
  • Implemented research methods for changepoint detection to automate trading under volatile conditions
  • Devised strategies and built systems to rank and backtest signals, leveraging a thoughtfully constructed backend

APIsec.ai (VC Backed Security Company)

API Vulnerability ML

  • Coordinated with engineering, product, and AI leads to develop and complete solution to reduce human effort by 90%
  • Developed a classifier solution end-to-end by accumulating, transforming, and fitting data, then hosting an API endpoint with the model for DevOps to deploy into production product
  • Utilized LangChain to create a natural language interface to condense key information for the customer, increasing ease of use
  • Leveraged tech: Optuna, Seaborn, SKLearn, IMBLearn, NLPaug, Gradio, FastAPI, LangChain, Autokeras, AWS Sagemaker

BurnBot (VC Series A Fire Prevention Technology Company)

Software Engineer

  • Conceptualized with cofounder to innovate uses of new data to identify prospects and achieve product-market fit
  • Architected and built an analytics program utilizing commercial forest imaging data to provide large-scale analysis on forest-fire fuel as well as high-risk buildings data
  • Leveraged tech: Scipy, Rasterio, Geopandas, Jupyter Labs

Veke.co (VC Seed funded 20-Person Stealth Startup)

Head of Engineering

  • Led team to deliver 1.0 of the Veke platform, where content creators monetize creations, by creating an AWS backend and frontend infrastructure
  • Facilitated seed funding as part of leadership team
  • Leveraged tech: Prisma, Typescript, Node.js, SQL, Figma, AWS, Git

Wonder Labs

Research Assistant

  • Worked with co-founder to identify an underlying problem for forest fire solutions.
  • Leveraged Salo Sciences, a satellite imagery company, to predict forest fire fuels
  • Peformed large-scale analysis on forest fire fuel as well as high-risk buildings data
  • Spot checked actual sites and drafted a methodology and proposal for the county with hopes of adoption into the California Wildfire Protection Plan

Zscaler (Nasdaq Zscaler)

Product Management Intern

  • Partnered with product management to automate human-based data collection and integrate results into underlying product
  • Worked with software engineers to test efficacy of added metrics, such as its TLS version, location, or compliance
  • Leveraged tech: Excel, Requests, Numpy, Pandas, Matplotlib

Thales

Computer Science Intern

  • Extended python webscraper to pull Q&A from web forums to train ML model for automated customer service response
  • Leveraged tech: Selenium, Spyder, Word2Vec

Education

University of Southern California

August 2022 - Present

Bachelor of Science in Computer Science and Business Administration

Projects

WiiPPO

Utilized Stable Baselines 3 RecurrentPPO algorithm to play MKWii tracks and optimize for time. Created full system to utilize emulated screen recordings to feed into the network and use keystrokes libraries as actions. Iterated on the reward function and model architecture to yield the fastest agent.

View Project

BurnBot Wildfire Work

Worked to develop a wildfire risk model that incorporates wind speed, structure and population density, fuel type, and climate. Performed large-scale big data analysis utilizing modern wildfire research. Develop a full-stack integrative system for the tool to be used for the core product.

View Project

APISec API Vulnerability

Created a self-updating Word2Vec AI model that reads in rest API data and can find aDoS vulnerabilities via word ontologies. Helped build pipeline into main product.

Guavus Data Collection

Worked with senior engineers to uncover project goals. Utilized Selenium to scrape web forums for injection into a Q&A ontology-based chatbot.

Robotics Scouting Automation

Human observation data collection taxed my robotics team’s resources. My goal was to minimize human resource loss by automating scouting data collection + analysis. To do so, I dealt with massing large amounts of data and determining an algorithm to rank results Leveraging Jupyter Notebook, I worked with an API to pull the data, requests and JSON libraries in order to attain and format the data, and Keras in order to analyze the data and turn them into viewable results. Done with no mentoring or support.

View Project

Skills

Get in Touch