// Computer Science & Security Engineer
Building resilient distributed systems, compilers, and security tools.
Carnegie Mellon University MSIS '26
IEEE-published author. 100+ open-source contributions.
Focused on building systems that make software more reliable and secure.
My work sits at the intersection of systems engineering, program analysis, and security tooling
— from distributed infrastructure and static analysis pipelines to developer-focused security frameworks.
I design tools that operate close to the code itself:
analyzing program structure, enforcing correctness, and uncovering vulnerabilities before they reach production.
Designing fault-tolerant distributed systems and concurrent architectures with consistency guarantees.
Building program analysis tools at the AST level — linters, taint analyzers, complexity checkers, and runtime profilers.
Implementing taint-analysis frameworks, encrypted microservice channels, and vulnerability detection in production code.
Mini fault-tolerant key-value store exploring consistency models, network communication, and fault-tolerant design across distributed nodes.
Static taint-analysis tool detecting untrusted input flows to dangerous APIs. Security-first microservices with encrypted channels.
Java-based code linter with style checks and cyclomatic complexity analysis. AST-level static analysis to detect inefficiencies before runtime.
Mini Python-to-C optimizer built from first principles. Explores compiler theory, code generation, and runtime efficiency improvements.
Lightweight performance profiler for Python programs. Dynamic program analysis and runtime systems instrumentation for real workloads.
Research-grade framework for inspecting, debugging, and stress-testing ML models. Applies program analysis principles to ML systems.
Explores blockchain technologies in transparent crowdfunding systems. Covers system design, smart contract implementation, and empirical evaluation of decentralized funding models.
Read Paper ↗Long-form deep dives on compilers, distributed systems, and ML — treating documentation as crucial as implementation.
100+ merged contributions —
code reliability, test coverage improvements, and rule implementations for one of Java's most used static analysis tools, used by millions of developers worldwide.
Admitted to the Information Networking Institute.
Focusing on systems, security, and large-scale software engineering.
IEEE-published during sophomore year.
Built an extensive systems-focused project portfolio spanning distributed systems, compilers, program analysis, and ML infrastructure.
Secured 97% in board examinations.
Strong foundation in mathematics and sciences that underpins systems thinking and algorithm design.
Achieved a perfect 10/10 CGPA.
Consistently demonstrated academic excellence from foundational schooling onward.
Whether it's a research conversation, collaboration, or just a hello — my inbox is open.
manish07070707@gmail.com