Jan 2025 – Present · 1 yr 5 mos · Vadodara, Gujarat, India · On-site

• Built AI apps that turn passive audiences into qualified leads, bridging the gap between content consumption and conversion for coaches and consultants
• Pioneered "gamified educational micro-apps" that collect customer intelligence while delivering value, revealing how audiences think, where they drop off, and what they're ready to buy
• Shipped 20+ single-feature production apps focused on one high-leverage moment proving depth beats breadth in early product development
• Established category exclusivity agreements protecting client competitive advantage, ensuring differentiation, not commoditisation
• Turned consulting frameworks into scalable digital products, creating new revenue streams without proportional time investment
• Applied YC MVP philosophy to client work, let real user behaviour, not assumptions, drive what gets built next
• Designed apps that feel human, not "AI-generated", bridging AI skepticism and business outcomes for $5k-$20k/month founders

Aug 2024 – Feb 2025 · 6 mos

• Reinforcment learning using human feedback (RLHF) with prompt designing for Agentic LLMs.
• Built RLHF prompts and agent flows for agentic LLM features; prototyped 3 agent behaviours used in product experiments.
• Designed evaluation metrics and A/B pipelines to measure “user task completion” (reduced failure rate X%).
• Mentored cross-functional teams on integrating AI as a coding/build partner (internal playbook for agentic tasks).

Jul 2022 – Oct 2023 · 1 yr 3 mos · Gurugram, Haryana, India · Hybrid

• Led product strategy and delivery for Tradex’s premium gaming vertical — shipping engagement mechanics, economy design, and experiments that improved retention and monetisation.
• Defined the product vision and roadmap for the blockchain gaming vertical, turning business goals into a prioritized backlog, OKRs, and a steady experiment cadence.
• Designed and shipped core gamification systems that increased key engagement signals and improved lifetime value.
• Architected economic design and pricing guardrails to align short-term conversion with long-term trust — trading extractive mechanics for sustainable LTV growth.
• Ran rapid, measurable experiments to validate hypotheses and iterate features before scale.
• Priced binary options on cryptocurrency; designed quoting logic and hedging rules to keep spreads tight while profitable.
• Provided continuous liquidity, balancing profitability with platform fairness and UX needs.
• Built client strategy integrations in Python and delivered backtest → production pipelines.
• Deployed local infra (DB + scripts) to capture trade events, metrics and enable post-trade analytics.
• Coordinated cross-functional delivery with engineering, design and analytics — reduced prototype → ship cycle and improved post-launch measurement for rapid learning.
• Operational reality (what I did day-to-day): executed market-making and liquidity provisioning for bitcoin binary options on the platform — essentially running the real-time economic engine that kept gameplay smooth and reliable for users.

Jan 2022 – Dec 2024 · 2 yrs 11 mos

• Ideating, Backtesting, Coding, and Broker API integration of algorithmic trading strategies based on mathematical models, technical analysis, and arbitrage with python.
• Built an OMS to reduce latency across multiple broker APIs and standardise order routing logic.
• Implemented an EMS execution engine to control slippage and execution sequencing; introduced deterministic execution rules and retry logic.
• Instrumented post-trade logging and dashboards for execution quality (slippage, fill rate, latency percentiles) to support SRE-style hardening.
• Reduced average execution latency by [X%] and slippage (or “improved execution quality vs baseline”) — replace with numbers if available.

Jun 2021 – Jul 2022 · 1 yr 1 mo · India

• Research and development of quantitative trading strategies with index derivatives for Indian financial markets using python.
• Wrote backtests, analysed statistical consistency and “hardening” checks for production readiness.
• Maintained MongoDB database for live & historical data; implemented simulation pipelines.
• Implemented regime indicators (K-means / PCA), OU pairs process and rule-based signal systems.
• Transitioned approved strategies into live code with OMS integration and monitoring.

Oct 2019 – Feb 2021 · 1 yr 4 mos

• Developing and optimizing trading systems to transition into quantitative algorithmic trading

Jul 2019 – Oct 2019 · 3 mos · Chennai

• Design and manufacturing of high-performance electric motor for automotive applications

Dec 2017 – Dec 2017 · 0 mo · Chennai

• Research and prototyping carbon fibre aerodynamic components for race cars