Vanshaj kerni

Driving AI, GTM, and automation initiatives end-to-end across the organisation. Key highlights include:
• GTM & Outbound
• AI Adoption
• AI Agents & Automation
• AI Product Development
• Operations & Quality
• Cross-functional Execution

- Built scalable analytics pipelines processing 300K+ weekly events, extracting behavioural, revenue, and operational KPIs using advanced SQL and Python; implemented statistical validation and automated performance monitoring to support data-driven decision-making.

- Designed and rigorously evaluated Voice AI systems using structured golden test sets, A/B experimentation, transcript-level feature

- Built full-stack, AI-native systems including Kratos AI, transforming long-form audio into structured edTech content using ffmpeg-based preprocessing, transcription pipelines, and LLM-driven summarisation workflows.

- Developed and tested proof-of-concept AI agents for automated trading strategies on Berachain, integrating backend logic, model inference, and blockchain interactions.

- Designed

- Researched multi-layer blockchain protocols (L1/L2), consensus mechanisms, and proof systems to understand scalability, security trade-offs, and architectural design decisions.

- Studied financial market structure and revenue models to support product direction and system design planning.

- Worked closely with engineering, design, and frontend teams to translate business requirements into tech

- Researched Layer-1 and Layer-2 blockchain architectures, evaluating consensus mechanisms and scalability trade-offs across throughput, latency, and security constraints.

- Implemented proof systems and core cryptographic primitives in Rust, including finite field arithmetic and elliptic curve operations, translating theoretical constructions into optimised prototypes.

- Designed Rust macros an

• Assisted with pulsar observations by creating daily schedules based on the pulsar catalogue and coordinating with the GMRT operations team.
• Monitored real-time data during observation sessions using tools like GPTOOL and PSRCHIVE, ensuring telescope accuracy and responding to technical anomalies.
• Progressed from secondary to primary observer, independently conducting observation sessions wit

Mentored a group of 12 physics first-year undergraduate students helping them to navigate through the difficult challenges faced in the first year.

Joined Star and Galaxy Group at IIA under Prof. C Muthumariappan. Explored the formation of hydrogen deficient stars, PG-1159 stars.

Researched under Prof. Ameeya Kumar (IIT Roorkee), modelling blood flow in stenosed veins using incompressible Navier-Stokes equations with a power-law fluid approach. Investigated flow dynamics in microdomains to understand the effects of vessel restrictions and clotting, providing insights valuable for microfluidic diagnostics and healthcare applications

Researched cosmic void evolution under the mentorship of Dr. Geetanjali Sethi, focusing on isolated underdense regions in expanding backgrounds. Studied the impact of different dark energy models on void dynamics to constrain cosmological parameters, starting from the Einstein–de Sitter cosmology and extending the acceleration equation.

As Additional Secretary of the Physics & Astronomy Club, led cross-disciplinary teams to plan and execute scientific events, public seminars, and educational outreach. Focused on making complex astronomy topics accessible to STEM and non-STEM audiences, fostering broader scientific curiosity.

Studied stellar orbital parameters of the ultra-compact X-ray binary OGLE-UCXB-01 in the Djorg 2 cluster, using modelled data and databases like Gaia, Simbad, and Viser. Contributed to data analysis on gravitational energy loss and X-ray luminosity, and served as the team’s editor during the project.

Explored a derivation of black hole entropy using Trace Dynamics under the mentorship of Prof. T.P. Singh. Focused on learning and applying Clifford Algebra for theoretical entropy derivation.

Worked as Joint Secretary at Physics and Astronomy Club, IIT Roorkee.

Verified the Bethe-Bloch energy loss relation for charged particles using Geant4 simulations, validated with NIST data. Studied interaction mechanisms and derived cross-section relations using classical and quantum approaches. Performed data analysis with Python, ROOT, and Gnuplot.

Worked as Executive Member at Physics and Astronomy Club, IIT Roorkee.

Conducted research on stellar evolution and asteroseismology, analyzing data from seven stars (73 Myr–3.5 Gyr) using Python and Gnuplot. Correlated observational data with theoretical models, gaining experience in signal processing, technical writing, and collaborative research.

Learning the fundamentals of quantum computing, quantum algorithms, quantum startups and hardware research ongoing in the field. Focusing on algorithms specifically for solving partial differential equations with applications in computational fluid dynamics.

Investigated the evolutionary connections between PG1159 stars, Wolf-Rayet ([WR]) stars, and weak emission line stars (WELS), focusing on their infrared characteristics.
•Analyzed data from IRAS, 2MASS, and WISE to derive near, mid, and far-infrared properties of 26 known PG1159-type planetary nebulae.
•. Identified distinct infrared signatures and deviations from existing models, leading to the

Apr 2020

May 2020

Dec 2020

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Oct 2021

Sep 2022

Sep 2022

Nov 2022

Distinguished Honours:
- Physics Department Gold Medal for the highest CGPA.
- Overall 1st rank in the passing batch of 2023.
- Inter IIT Gold and Silver Medal.
- Indian Academy of Sciences 2020 research fellowship.
- IIT Roorkee Merit-cum-means scholarship.
- Chittal Arasakesari Annual Excellence Award, awarded by IITRHF.

Jun 2025

Aug 2025

Jul 2025

Aug 2025

Aug 2025