I build ML systems & LLM-powered agents, from production pipelines to agentic architectures. Master's in CS. AIE at Uber. Founder of RackX - an agentic job search assistant, and Cnotes (50K+ users) - A Business CRM for LCO's housing more than 50k+ users.
RACKK
Stateful AI agent for career workflows, resume analysis, job matching, skill gap detection. RAG + FAISS + vLLM.
Synthetic instruction-tuning pipeline for a 15B code LLM. LoRA/QLoRA via PEFT — 70% GPU memory reduction.
Cnotes.in
Solo-built full-stack CRM for Local Cable Operators. LAMP + React, idempotent billing, role-based auth. 50K users.
Developed predictive models to identify high-engagement participants and improve retention; built a RAG system over program data (curricula, grants, jobs, records) for natural language querying; and fine-tuned LLMs on noisy real-world data to improve robustness and domain alignment.
ML pipelines for event data processing (XGBoost, scikit-learn). Real-time inference APIs in FastAPI, sub-200ms latency. Precision/recall evaluation with A/B-style comparisons.
Java backend services on AWS. 40% API latency reduction. Docker + Kubernetes for service reliability at scale.
At Robosoft, I built and deployed machine learning solutions for mobile app analytics, from large-scale data pipelines and EDA to predictive models that improved system performance, automated workflows, and reduced operational bottlenecks.
Solo-built a full-stack CRM (LAMP + React) for Local Cable Operators — scaled to 50K+ users. Idempotent billing, audit-ready event logs, role-based auth.
Extends TAPE's batch graph construction with an anchor-scored sequential merge pipeline. Novel edge-retention policy and ILP feasibility formulation for constrained LLM agent planning under tool-guided adaptive execution.
Cirrhosis disease classification using polynomial feature engineering and XGBoost, improving diagnostic prediction accuracy. Applied machine learning techniques to enable early detection and cost-effective diagnosis in healthcare settings.
Actively looking for AI/MLEngineer, Forward Deployment, and Backend roles.
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