ML SYSTEMS
LLM Systems & PipelinesProgrammatic IR (LLM → Code)Evaluation MethodologyInference OptimizationRanking Systems (Swiss-Tournament)Recommendation SystemsDiffusion Models (DDPM, VAEs)
> ABOUT.SYS
SKILL MATRIX
ML SYSTEMS
ENGINEERING
Pipeline ArchitectureHybrid Local/Cloud InferenceEmbedding-based RetrievalAPI IntegrationsDeployment (Vercel, Railway)Frontend (React / Next.js)
STACK
PythonMatplotlib · RDKit · SchemdrawvLLM · LoRA · MoETypeScript (Working Knowledge)Linux
MINDSET
Systems ThinkingFailure Mode AnalysisMetric Design & CritiqueBenchmarking & ExperimentationResearch ↔ Engineering Bridge
> ABOUT.SYS // PERSONAL
SYSTEM PROFILE
INSTITUTION
IIT Bombay
DEGREE
B.Tech Chemical Engineering
MINOR
Machine Intelligence & Data Science
YEAR
2nd Year (Active)
FOCUS
Applied ML & Research Engineering
LOCATION
Mumbai / Bengaluru
> Positioning anchored on the Full-Stack ML Advantage — training models from scratch, writing robust systems-level rendering layers, and optimizing model-serving infrastructure rather than just calling third-party wrappers.