CS Graduate (May 2026) from LPU. QA Analyst Intern at Evaratus (Formerly Scaler AI Labs). Building systems that think, interfaces that resonate, and pipelines that scale. Harmonizing technical complexity with intuitive design.
Conducted rigorous quality assurance and evaluations for complex technical datasets and model outputs. Optimized testing frameworks to validate system reliability and accuracy across high-density pipelines.
PresentExecuted targeted outreach and market research strategies to generate qualified leads and drive prospective client engagement. Collaborated on strategic sales initiatives, analyzing client needs to pitch tailored educational solutions.
CompletedOptimized frontier LLM alignment via RLHF workflows for Python-based algorithmic reasoning and logic verification. Executed adversarial Red Teaming to identify edge-case vulnerabilities.
CompletedPublished Lead Author - "Novel Users in Specific Domains" — an exploration of specialized user behaviour patterns in OS environments.
PublishedArchitected a predictive intelligence engine achieving a validated $R^{2}=0.9579$ on 420,000+ time-series records with full explainability via SHAP values.
Developed an adaptive bitrate streaming service using FastAPI and HLS protocols. Orchestrated asynchronous transcoding workflows using FFmpeg.
Architected a security prototype utilizing ML-based anomaly detection to identify browsing-based threats and zero-day attack patterns.
I'm a Computer Science graduate from Lovely Professional University (Class of May 2026), currently working as a QA Analyst Intern at Evaratus (Formerly Scaler AI Labs) in Bengaluru — where I test, validate, and align frontier language models and reinforcement learning environments.
My work sits at the intersection of machine learning, systems engineering, and product intuition. Whether it's crafting SFT golden responses, building XAI pipelines, or architecting adaptive media systems — I'm drawn to problems where elegance and rigor have to coexist.