Senior AI Developer, Accellor
Current AI systems work: Current role, project details coming later.
Resume
Formal track record, mirrored from the Agent OS portfolio.
Same professional content, plain-text rendering. For formal sharing, use the PDF.
Experience
Data Scientist, RevSure AI
Lead Fit scoring system: Prioritized accounts using firmographic, behavioral, and conversion signals to improve sales targeting efficiency.
Lead Propensity model: Predicted progression across the funnel (MQL→SQL→Opportunity→Closed-Won) to improve forecasting and campaign optimization.
Title Standardization: LLM + rule-based cleaning/normalization for CRM job title data to improve downstream model performance and reporting.
Probabilistic multi-touch attribution: HMM-based attribution to quantify channel impact and move beyond static rule-based attribution.
Buying Stage inference: Combined product, marketing, and sales signals to infer customer journey stages and provide real-time visibility.
LLM-based data standardization: Applied LLM-based semantic normalization techniques to reduce manual effort and improve data quality across pipelines.
Data Scientist, Pixis
Predictive targeting & optimization models: Behavioral, engagement, and contextual signal models to improve campaign performance.
Marketing data pipelines: Built real-time + batch processing pipelines using AWS S3 + Athena for ML inference and reporting.
Feature engineering framework: Reusable feature creation workflow to transform raw signals into ML-ready inputs.
Codeless AI infrastructure: Enabled non-technical users to leverage ML insights in workflows.
Early generative AI experiments: Prompt-based experimentation and integrations for targeting/segmentation automation.
Product Analyst I, LEAD School
Product dashboards & reporting: Built interactive dashboards to track performance and business metrics for product teams.
Reporting pipeline automation: Automated reporting workflows using Python + Airflow, reducing manual reporting effort.
Student Representative, Career and Placement Cell, IIT Mandi
Placement policy & stakeholder communication: Improved student placement experience and policy execution through coordination with academic departments and administration.
Intern, Geo Carte Radar Technology Pvt. Ltd.
Crack detection POCs: Led POCs and problem-solving for crack detection using tooling and data interpretation.
Data quality & troubleshooting: Troubleshot technical issues to ensure accurate submissions and data integrity for contractors.
Education
B.Tech in Civil Engineering with a management minor
Indian Institute of Technology Mandi, Aug 2017 - May 2021.
- Built technical, analytical, and leadership foundations.
- Represented IIT Mandi in technical competitions and campus initiatives.
- Bridge from academic strength into product and data thinking.