Ananya Chakraborty
Software Engineer at Lyft (Privacy & Security Engineering team)
Developing AI-powered security automation and agent-based threat analysis tools at Lyft.
Intro
I'm Ananya Chakraborty, a Software Engineer at Lyft on the Privacy & Security Engineering team. My career has been driven by a passion for building resilient, high-performance systems—from reengineering payment flows to delivering FDA-compliant medical SaaS platforms. Currently, I'm focused on reducing 'analyst toil' by building AI-powered security automation and agent-based threat analysis tools. Beyond the code, I'm deeply interested in the future of mobility, particularly the intersection of autonomous vehicles and human driver networks. I value a calm bias for execution and believe in the power of customer obsession. Whether it's discussing cloud-native architecture, navigating the complexities of the H1B journey, or sharing stories of professional resilience, I'm always looking to connect with others in the tech community to share insights and explore mutual opportunities.
Networking
What I can offer
- ›Technical expertise in scaling cloud-native systems
- ›Experience in reducing release delays and improving system performance
- ›Insights into Privacy & Security engineering and AI automation
What I'm looking for
- ›expanding my professional network
- ›exploring mutual opportunities in software engineering and security domains
Best fit for
Focus
Current interests
Core competencies
Background
Career
Progressed from Software Engineer at Accenture to Senior roles at ELTON, eventually specializing in Privacy & Security Engineering at Lyft after completing a Master's at Boston University.
Education
Master’s Degree in Computer Science from Boston University (2021 – 2023); Bachelor’s Degree in Computer Science from Dayananda Sagar Institutions (2014 – 2018)
Achievements
- ›Building AI-powered security automation tools at Lyft to reduce analyst workload.
- ›Delivered a cloud-native SaaS platform for FDA-compliant medical workflows at ELTON.
- ›Reduced transaction failures by 50% at Within by reengineering payment flows.
- ›Delivered backend enhancements supporting over 20,000 users at Boston University.
Opinions
- The future of mobility lies in a hybrid model where autonomous vehicles and human drivers work together.
- Values a 'calm bias for execution' and driving clarity across cross-functional teams.
- Advocates for 'customer obsession put to practice' in reliable service industries.
Personality
Communication style
Professional, empathetic, and outcome-oriented; balances technical depth with human-centric storytelling.
Formality — 7/10
Vocabulary