Sahil Silare is a full-stack Software Engineer 2 at Adobe with eight years of experience building cloud-native, AI-enabled products that drive measurable business impact. He has led end-to-end launches—most recently bringing AEM Sites Optimizer to GA and saving customers hundreds of thousands in manual SEO costs—while designing LLM-powered pipelines and CrewAI-driven workflows that cut execution and reporting time by 20–40%. Comfortable across C/C++, Python, Node.js, React, Django and AWS serverless stacks, he pairs hands-on engineering with security-minded open-source work, contributing notable fixes to TruffleHog and enhancements to projects like ToolJet and Instill-AI. A pragmatic problem-solver, he blends distributed systems and developer-experience improvements (e.g., distributed tracing with Coralogix + Kafka) with a knack for simplifying complex flows into elegant automation. He’s also active in developer communities and has a track record of mentoring and public speaking, including a recent session at Adobe DXUE Summit on microfrontend interoperability.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science and Engineering, 9.24/10, Bachelor of Technology - BTech, Computer Science and Engineering, 9.24/10 at National Institute of Technology Raipur
Contributions:43 reviews, 26 PRs, 93 comments in 15 days
Contributions summary:Sahil primarily contributed to bug fixes and improvements related to the verification logic and endpoints within the TruffleHog project. The user's commits involved modifying code in multiple detectors, specifically for services like AyrShare, Autoklose, Canny.io, Aeroworkflow, Alegra, Bulksms, Calendarific, and CaptainData, indicating expertise in identifying and addressing vulnerabilities. They also worked on incorporating new features and updates for various detectors, and refactoring existing code to align with version updates.
Contributions:8 commits, 4 PRs, 1 comment in 1 day
Contributions summary:Sahil contributed algorithms and data structures implemented in JavaScript, C++, and Java. They focused on implementing fundamental algorithms such as Fibonacci sequence, GCD, and LCM. Additionally, they added implementations of Tarjan's Algorithm, DFS, BFS, and Shell Sort, showcasing a strong understanding of algorithmic principles.
searching-algorithmscpppythonjavascriptphp
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