# Sreedhar Radhakrishnan

> SWE @ Lacework, VC Investor in Residence @ Team Ignite

Location: New York, New York, United States
Profile: https://flows.cv/sreedhar

Operating: Software Engineer at Lacework (backed by Sutter Hill Ventures and Google Ventures) from Series C to acquisition by Fortinet ($FTNT) and beyond.

Investing: VC Investor in Residence at Team Ignite Ventures, focusing on enterprise B2B software, AI/ML, dev tools, and data infrastructure.

Community Building: Supporting the startup ecosystem and the next generation of builders through The Journey. https://www.emergingtalentagency.org/talentnetwork

Education: Studied computer systems and machine learning at Carnegie Mellon's School of Engineering.

## Work Experience
### Software Engineer IV @ Lacework
Jan 2025 – Present | New York City Metropolitan Area
Series C -> acquisition, currently at Fortinet ($FTNT)

Shipped multiple products from 0 to 1 with a fantastic team. Much of my focus has been on building customer-facing systems for large-scale security detections. I’ve listed some of the projects and relevant links below:

- Low-latency security alerting 
- Graph behavior anomaly detection for K8s audit logs
- Customer enterprise integrations and resource groups management
- Human in the loop alert fatigue detection 

Miscellaneous:
- Cofounded a mental health wellness group for employees and executives
- Helped grow the team from 2 to 12 post-acquisition by Fortinet
- Won hackathon, filed patent

https://www.lacework.com/blog/lacework-introduces-new-kubernetes-audit-logs-monitoring/

https://www.lacework.com/blog/powerful-lacework-alerting-overhaul-helps-teams-act-faster-together/

### Software Engineer III @ Lacework
Jan 2023 – Jan 2024 | Mountain View, California, United States

### Software Engineer II @ Lacework
Jan 2022 – Jan 2023 | Mountain View, California, United States

### Software Engineer @ Lacework
Jan 2021 – Jan 2022 | Mountain View, California, United States

### VC Investor in Residence @ Team Ignite Ventures
Jan 2024 – Present | New York, NY
Focusing on AI and Infra. Most of my time is spent on sourcing and thesis building. Led the fund's first cybersecurity deal. Portfolio includes:
- Arvist (https://arvist.ai/): AI-driven warehouse operating system
- Best Defense (https://bestdefense.io/): Continuous penetration testing platform
- Stealth voice AI startup: Conversational voice AI for non-English languages

### Angel Investor @ Sreedhar Radhakrishnan
Jan 2024 – Present
Thesis focuses on the AI lifecycle (application layer, infrastructure, and energy). Portfolio includes:

- Lighthouz (https://lighthouz.ai/): AI finops for supply chain
- Taxo (https://www.taxo.ai/): AI automation for healthcare administration
- Zoa Research (https://zoaresearch.com/): Quantitative forecasting models
- HyWatts (https://hywatts.com/): Low-cost renewable energy

### Community Building @ Emerging Talent
Jan 2024 – Present
On a pro bono basis, I co-lead a community of early-career engineers passionate about entrepreneurship. I drive university collaborations, help organize founder talks and mentorship programs, and provide job opportunities at venture-backed startups.

My mission with this work is to equip the next generation of entrepreneurs and provide early-career engineers with access to opportunities in the startup ecosystem, which might otherwise be difficult due to circumstantial disadvantages.

### Machine Learning Teaching Assistant @ Carnegie Mellon University School of Computer Science
Jan 2021 – Jan 2021
17-700 Machine Learning at Scale by Dr. Heather Miller.

### Machine Learning Research Assistant @ Carnegie Mellon University's College of Engineering
Jan 2020 – Jan 2021 | Pittsburgh, Pennsylvania, United States
Anomaly detection and Generative AI research with Dr. Giulia Fanti. Worked on synthetic data generation and hate speech detection. 

https://arxiv.org/abs/2105.11119

### ML Software Engineer, Intern @ Adobe
Jan 2020 – Jan 2020 | San Jose, California, United States
Worked on LLMs for developer productivity. Built a tool to help on-call engineers troubleshoot infrastructure problems using a natural language interface. 

Presented my work at the Adobe Photoshop Developer Meetup and secured a full time offer based on performance.

### Software Engineer @ GE Aerospace
Jan 2018 – Jan 2019
Started full-time during undergrad. Engineered a low-latency data pipeline to track aviation asset lifecycle changes in near real-time. The work provided better visibility into the aviation supply chain and drove inventory management decision-making. 

Received the highest performance rating for my work. Left the company to start my master's program at Carnegie Mellon.

### Machine Learning Research Scholar @ USC Viterbi School of Engineering
Jan 2017 – Jan 2017 | Greater Los Angeles Area
Conducted Deep Learning and Generative AI research with Dr. C.-C. Jay Kuo as a Viterbi Research Scholar, focusing on synthetic image generation for urban scene understanding. 

Presented and published my work at the Indian Institute of Science (IISc).


## Education
### Master of Science - MS in Information Networking
Carnegie Mellon University
Jan 2019 – Jan 2021

### Bachelor of Technology - BTech in Computer Science
PES University
Jan 2014 – Jan 2018


## Contact & Social
- LinkedIn: https://linkedin.com/in/sreedhar-radhakrishnan
- Website: https://sreedhar1895.github.io/

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Source: https://flows.cv/sreedhar
JSON Resume: https://flows.cv/sreedhar/resume.json
Last updated: 2026-04-01