Shashank Srikant
Chief AI Officer at Self-employed
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolShashank Srikant is a Chief AI Officer and founder-level consultant with a decade of experience helping Series A–C software product teams integrate practical, production-ready ML and GenAI features. Trained as a PhD researcher at MIT CSAIL, he blends deep research in machine learning, programming languages, and cognitive neuroscience with hands-on product delivery—from LLM customization and recommender systems to speech/video processing across Indic and international languages. He leads MLExperts.ai, a boutique firm that builds niche solutions such as natural-language-to-database reporting, level‑2 support automation, and domain-specific forecasting, while staying budget- and timeline-conscious for growth-stage clients. His background includes leading research labs and industry collaborations, teaching ML courses, and grassroots work in rural public health, reflecting a rare mix of academic rigor, product focus, and social impact. Expect a leader who moves smoothly from algorithmic depth to deployable systems and who has repeatedly translated research insights into customer-facing products.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Massachusetts Institute of TechnologyBachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at National Institute of Technology, Kurukshetra, Haryana
Github Skills (68)
seq2seq10
language-understanding10
solidity9
symbolic-execution9
security9
python9
program-analysis9
cpp9
smart-contracts9
objective-c9
blockchain9
ethereum9
adversarial-machine-learning9
java9
vulnerabilities8
Programming languages (6)
Github contributions (5)
shashank-srikant/shashank-srikant.github.io
Oct 2016 - Jul 2026
Contributions:1126 pushes, 3 branches in 9 years 11 months
bootstrap-3hostedjekyllbootstrapcustomization
ALFA-group/adversarial-code-generation
Mar 2021 - Nov 2021
[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly
Contributions:10 commits, 7 pushes, 2 comments in 8 months
combinatorial-optimizationml4codeml4sedifferentiable-programmingbig-code
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.