Headline

Co-Founder - Veracity | Quantitative Trading | Building AgentZ for Systematic Trading Research & Governance | AI - Pilled

About

Engineer-turned-entrepreneur on a mission to demystify markets for retail and institutional investors alike. Quant Fund - I collaborate with a talented crew of Quants to turn messy market data into deployable strategies. My day-to-day is part coach, part compass: setting research goals, stress-testing ideas, and keeping the legal & growth rails tight so the team can focus on deep ML-driven time-series analysis. Veracity AI - After hours I “vibe-code” with the same crew, shaping a vertical agent that converts macro news, company reports, sentiment, and risk metrics into jargon-free insights for Indian retail investors—an early step toward fully Agentic portfolio management. Always up for swapping notes on volatility models, product storytelling, or the best filter coffee in Bengaluru. Ping me if you’re building, learning, or just curious.

Location

Bengaluru

AI stack

codex

langgraph

openclaw

Firecrawl

OpenAI Agents SDK

PydanticAI

Work experience

AgentZ · The Goverance Layer for Systematic Trading (Veracity AI) at Veracity, Feb 2025 - Present · 1 yr 7 mos, On-site, - Building AgentZ, a governance layer for systematic trading teams to structure research, validation, and strategy review. - Leveraging LLM engineering, coding agents, and LangGraph-based multi-agent architecture to break complex trading workflows into clear steps. - Working on agentic workflows across research, implementation, testing, review, and analysis. - Building a native governance harness to track strategy tests, decision history, and readiness for the next stage.

Co-Founder · Quant Fund at Veracity, Jan 2024 - Present · 2 yrs 8 mos, Hybrid, Research Direction & Compliance - Co-designed the quant-research roadmap (volatility, regime-switching & Monte-Carlo sizing) and keep the team aligned on weekly OKRs. - Host “Idea Clinics” that turn raw hypotheses into back-tests; trimmed research-to-prototype cycle from 6 → 3 weeks. - Point-of-contact for all third-party vendors—broker APIs, market-data providers, legal advisers—keeping communication clear and deliverables on schedule. - Managed the entire website lifecycle—migrated to a lean static/CI-CD stack, cutting hosting + dev costs 10× within 12 months while improving load speeds.

Personal goal pursuit at Career Break, Nov 2023 - May 2024 · 7 mos, Bengaluru, Karnataka, Strategic Sabbatical — Exploration, Upskilling & Well-Being After closing my chapter at Myntra, I took several months to step back, learn, and figure out the next move. What I focused on: Technical & Quant Exploration - Followed structured courses and tutorials on time-series ML (EGARCH, regime-switching, Monte Carlo sizing) and built small Python prototypes for trade analytics. - Read 10+ foundational books spanning financial markets, market microstructure and behavioural finance to ground my ideas. - Started tinkering with an options-back-tester that now seeds our internal framework. Market Practice - Paper-traded NSE options to test entry/exit logic and risk-parity sizing; documented the process into a working SOP for the team. Personal Systems & Well-Being - Introduced daily deep-work blocks and a regular running habit (now ~40km/week) to stay mentally sharp. - Added journaling and meditation to reinforce focus and self-reflection.

Associate at Myntra, Feb 2023 - Oct 2023 · 9 mos, Bengaluru, Karnataka, India, - Collaborated with five critical business units and multiple stakeholders to drive revenue, inventory health, and strategic placement for Footwear and Sports businesses. - Streamlined reporting and database management, automating report generation and maintaining a comprehensive database for informed decision-making. - Developed and implemented vital metrics to optimize inventory health, providing strategic guidance for visibility and discounting during events. - Oversaw inventory management from selection to distribution, handling revenue and inventory plans and contributing to monthly operating plans for seamless operations. - Conducted thorough forecasting to align with business objectives, improving investment decisions for slow-moving stocks. - Demonstrated ability to manage high-value transactions, issuing purchase orders worth over ₹80 Cr.

Planning Analyst at udaan.com, Apr 2022 - Feb 2023 · 11 mos, Bengaluru, Karnataka, India, - Monitored and analyzed real-time Last Mile performance data to identify and address city and hub-level breaches, ensuring timely corrective actions. - Designed and developed targeted queries and dashboards to empower Operations and Inventory Management teams, providing actionable insights into Dock to Stock time and Inbound Utilization for data-driven warehouse optimization. - Generated comprehensive Weekly Fulfillment Centre reports highlighting specific performance breaches, enabling proactive rectification and process improvements at the warehouse level.

Data Analyst at Tredence Inc., May 2021 - Apr 2022 · 1 yr, Bengaluru, Karnataka, India, Sponsorship ROI Calculation using Marketing Mixed Model (Hierarchical Mixed Effects Model) - Analyzed ROI across 3 markets to optimize budget allocation for the next season - Identified key market events impacting ROI and quantified their effects on brand performance - Utilized a data-driven approach with over 1 million data points to deliver precise ROI calculations - Incorporated all relevant model parameters and ran multiple iterations - Enabled informed decision-making to maximize sponsorship effectiveness and drive business growth

Education

Bachelor of Technology, Mechanical Engineering, National Institute of Technology, Tiruchirappalli

Public links

github: https://github.com/Neel-Error404