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Krishhiv Mehra

@krishhivmehra

Software engineer & data scientist. I ship products end-to-end, React/Next.js to Postgres, and work with Python/ML on messy data.

India

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What I'm looking for

I’ve designed systematic alpha signals, built thorough validation pipelines, and worked with teams that value strong engineering, diversification controls, and research discipline. Further, I am deeply passionate about software development, data science, and ML. I’ve gained hands-on experience with full-stack development, data analytics, model validation, and predictive analytics.

I designed, built, and shipped ZenTrade, a full-stack SaaS trading journal, entirely on my own, and it's live in production today (zen-trade-nine.vercel.app). Every layer is mine: the React/Next.js and TypeScript frontend, the Postgres backend with schema and migrations I wrote, auth at the middleware layer, subscription tiers, and deployment. Frontend to backend and everything in between.

As a Research Consultant at WorldQuant BRAIN, I built a portfolio of 12 systematic models with a mean Sharpe of 2.16, using a 70-operator toolkit across global equity data.

My live NSE microstructure research system hit a 1.13 daily Sharpe over 5,849 trades, validated with purged walk-forward CV (deflated Sharpe 0.93, zero probability of backtest overfitting).

I also interned as a software engineer, building an enterprise platform end-to-end for a BFSI client, owning APIs, database schemas, and the full delivery lifecycle.

I ship fast, I verify my own work, building with AI agents and rigorous tests.

Experience

Work history, roles, and key accomplishments

Current

Research Consultant

Current

WorldQuant BRAIN

Mar 2026 - Present (5 months)

Designs and submits systematic alpha signals across global equity universes. Engineered multi-factor alphas using a Fast-Expr toolkit and applied correlation-gating to diversify an IQC 2026 alpha portfolio.

Systematic Alpha Research Price–Volume Reversion Factors Credit Spread Factors Fast Expr Toolkit Correlation Gating Fitness Metric Sharpe Ratio

Software Engineer Intern

Loylty Rewardz Mngt. Pvt. Ltd.

Dec 2025 - Jan 2026 (1 month)

Built an enterprise Game Exchange Platform end-to-end for a BFSI loyalty client. Owned the SDLC from requirements to deployment-ready delivery, including API and database schema design for multi-user transaction logic, and improved reliability via structured testing and edge-case handling.

API Design Database Schema Design Multi User Transaction Logic Edge Cases Reliability

Education

Degrees, certifications, and relevant coursework

Ashoka University

B.Sc. (Hons.), Computer Science

2023 - 2026

Grade: GPA 3.21

B.Sc. (Hons.) in Computer Science at Ashoka University (Aug 2023–Aug 2026) with GPA 3.21. Coursework includes Financial Analytics, Quantitative Finance, Machine Learning, Probability & Statistics, and Information Security.