Feb 2024 – May 2024 · 3 mos · Jersey City, New Jersey, United States · Remote

• As a Principal Engineer at Aarogya, an AI-based health monitoring platform, I led the design and development of machine learning models used in chronic condition monitoring for senior communities. The role demanded strong alignment between research precision and product scalability.
• My day-to-day work involved designing ML model experiments, secure cloud-based services engineering, coordinating with hardware-software interface development, HIPAA-eligible software development and guiding interdisciplinary teams in GenAI innovation for digital health.
• Key Accomplishments:
• Helped developed a prototype GenAI-driven health platform that reduced clinical intervention lag.
• Cut deployment time through standardized cloud deployment and MLOps integration in the SDLC pipeline.

May 2017 – Feb 2024 · 6 yrs 9 mos · Jersey City, New Jersey, United States · On-site

• At Stem Lending, I co-founded and scaled a fintech platform with AI at its core. I directed efforts to build intelligent mortgage origination systems while ensuring safe deployment and monitoring of applications in compliance-sensitive environments.
• With oversight of data scientists, engineers, and interns, I facilitated predictive analytics design and transformed research roadmaps into production-ready solutions.
• Key Accomplishments:
• AI-Guided Solutions: Founded and scaled AI-guided mortgage solutions, achieving over $30M originations and top quartile customer satisfaction scores.
• Scaled internal infrastructure to handle nationwide mortgage data pipelines.
• Marketing Decision Making: Scaled a differentiated multi-channel marketing strategy: retargeting across search, text, social media and email with hyper-personalized copies, resulting in 60% lower customer acquisition costs.
• Business Analytics: Translated business goals into analytics projects, delivering actionable insights for marketing and product development, top quartile customer satisfaction (NMLS # 1677482, CO-NMLS # 1648699).
• Prototyping to Production: Transitioned A/B, multi-variate testing prototypes using Google Optimize into scalable production variants, optimizing the consumer journey to increase conversions to marketing qualified leads.
• Attribution Modeling: Coordinated teams of 15 data scientists and engineering interns to develop ML models and analytics for lead attribution modeling: first touch, last touch. Led technical SEO resulting in $16K+/month of leads.

Apr 2017 – Oct 2017 · 6 mos

• Served as technical product consultant working on Yellowdig’s education technology product improvements.

Jul 2016 – Apr 2017 · 9 mos

• As CTO of this edtech startup, I led the technical vision behind intelligent engagement analytics. My work centered on translating behavioral data into actionable metrics using NLP and machine learning. Moreover, I collaborated with compliance and data privacy teams to ensure institutional integrity and educational data security.
• Key Accomplishments:
• Increased user engagement through ML-powered feedback loops.
• Deployed an AI-based recommendation engine to personalize the learning experience.
• Predictive Analytics: Developed predictive models to forecast user engagement and retention, supporting marketing and product strategies.
• Cross-platform Development: Oversaw Yellowdig’s web, mobile, and API products, coordinating cross-functional teams to improve user engagement.
• Data Visualization: Created actionable reports and visualizations for leadership team, driving decision making.

Apr 2017 – Present · 8 yrs 11 mos · Westbury, NY · Hybrid

• Sharma Labs provided the opportunity to explore responsible AI development through original research and practical model implementation. I have been spearheading work on AI safety benchmarks, aiming to quantify and mitigate risks in advanced machine learning systems. Along with that, I optimized model inference efficiency and continuously contributed to the academic community through peer-reviewed research.
• A strong commitment to continuous learning has led me to complete technical coursework and practical projects across AWS, GCP, and Azure.
• Key Accomplishments:
• Developed open-source AI safety benchmarking protocols adopted by research partners.
• Improved inference throughput by 30% through compute pipeline refinements.
• Delivered enterprise data science solutions aligned with cloud-first strategies.

Jul 2015 – Aug 2016 · 1 yr 1 mo · Greater New York City Area · On-site

• My tenure at Goldman Sachs involved reengineering trading systems for derivatives. I collaborated across trading and technology teams to modernize infrastructure, incorporate automation, and enhance visualization of real-time risk indicators.
• Key Accomplishments:
• Reduced execution latency through back-end optimization.
• Built a real-time risk analytics dashboard used across derivatives desks.
• Technical Leadership: Designed and implemented multiple technologies to improve GS Asset Management derivatives trading products.
• Data Architecture: Managed data solutions to support business analytics, ensuring data integrity and scalability.
• Stakeholder Management: Built strong relationships with internal and external stakeholders to drive successful technology transformation efforts.

Apr 2013 – Jul 2015 · 2 yrs 3 mos · Niskayuna, New York, United States · On-site

• I led multiple research initiatives straddling financial modeling and life sciences. From developing credit risk models for GE Capital to managing genomics research analytics, I translated high-volume data into actionable intelligence. Global collaboration was key, often working with remote teams on data-intensive projects.
• Key Accomplishments:
• Boosted model prediction accuracy for credit default.
• Engineered an automated genomic analytics pipeline that increased QC throughput 10-fold.
• Data Management & Analytics: Developed Probability of Default models to simplify and improve accuracy in GE Capital's lending portfolio.
• Global Team Leadership: Led international research teams on multi-terabyte imaging genomic data analytics projects, ensuring successful execution and alignment.
• Experience with multi-terabyte large-scale biobank data and genomics TCGA The Cancer Genome Atlas, ADNI, The Cancer Imaging Archive.

Jun 2012 – Mar 2013 · 9 mos · New York City Metropolitan Area · On-site

• At Citigroup, I managed the technical buildout of a global low-latency trading platform. This involved architecting cache-coherent event processing frameworks and driving Agile development across geographically distributed teams.
• Key Accomplishments:
• Designed a trading system processing 25 million messages per second, using cache-coherent ring buffers, Disruptor architecture and lockless event processing design patterns.
• Elevated performance and scalability across global trading operations.
• Collaborated with global teams to design a scalable event processing framework for equity trading systems.

Oct 2010 – Jun 2012 · 1 yr 8 mos · Greater New York City Area · On-site

• This role centered on developing algorithmic trading platforms and Smart Order Routers. I focused on improving throughput and latency while building real-time tools for executing VWAP, TWAP, and IS strategies using Bloomberg APIs.
• Key Accomplishments:
• Achieved a significant boost in data throughput via custom sharded architecture.
• Built production-grade trading engines and analytics tools from scratch.
• Led the product development of a Smart Order Router and algorithmic trading engine, reporting to the CTO.
• Increased throughput between the algorithmic trading engine and smart order router by 100-fold with sharding.
• Developed real-time trading applications (VWAP, TWAP, IS) and market data analytics using Bloomberg API.

Aug 2009 – Jul 2010 · 11 mos · New York City Metropolitan Area · On-site

• Working on options and futures trading products, I designed a market-making engine from the ground up. The role required deep understanding of implied volatility and hands-on engineering of FIX protocol connectivity with CBOE.
• Key Accomplishments:
• Delivered a compliant and certified trading engine with custom FIX 4.2 implementation.
• Built and deployed a scalable infrastructure aligned with Options Symbology Initiative standards.
• Designed a new market-making product for trading equity and futures options from the ground up.

Jul 2007 – Aug 2007 · 1 mo · San Diego, CA · On-site

• Research in grid, cluster computing and multi-scale computational modeling approaches.
• Designed applications for remote access of NBCR cyber-infrastructure and scientific applications.
• Investigated approaches for molecular visualization, computational electrophysiology and virtual screening.