Truva

Truva handles the busywork intelligently saving your sales team hours each week, so they can focus on what matters most - building and closing deals. Many teams have seen up to 25% increase in sales where Truva's AI agents automated email drafting and follow up for them.

Co-Founder & CEO

Sleek (Acquired by Snackpass)

- Spun out of my time at Lightspeed Fellowship. Partnered with an ex-colleague from Google to navigate the pivot maze to found Sleek.
- Youngest company to be featured on Forbes AI 50 - America's most promising AI companies
- Sleek built APIs to calculate occupancy data, accurate wait times & surge pricing.

Co-Founder & CTO

Google

Tech Lead in NBU monetization in Search Ads. Led multiple initiatives in Google Search Ads including the design and execution for Google Lead Form Ads.

Technical Lead

Lightspeed Venture Partners

Fellow

LinkedIn

* Led efforts to convert Azkaban from a single server service to a distributed platform service by improving webserver to support multiple executor servers. Implemented multiple feature to release Azkaban 3.0.0.
* Supported 1500+ users including engineers, analysts and data scientists.
https://github.com/azkaban/azkaban/releases/tag/3.0.0

Senior Software Engineer

Microsoft

• Worked in Ranking Team in Bing Local Search Team. Improved and created new machine learning features, free forms, and training data generation techniques for local relevance.
• Increased recall and precision metrics for 10 markets by more than 5% each. Built ranking pipeline infrastructure and automated training of Local Segment Rankers for 7 markets.
* Nominated as a member of Machine Learning Group (MLG) at Bing, India.

Software Engineer 2

Google Summer of Code

Developed a customizable and accessible web based ePub book reader component for Infusion framework. Details: https://github.com/logiclord/ epubReader.

Student Developer

Mentor Graphics

Automated Power Format (UPF) generation in performance analysis of circuit designs.

Software Engineer Intern

* Developed an in-browser meta-metadata authoring tool that supports defining metadata structure as a strongly typed object, and using the DOM from the browser to facilitate semi-automatic derivation of XPath expressions. 
• Tool is available as Firefox Greasemonkey script and Chrome extension at http://code.google.com/p/googlesummer-of-code-2011-interface-ecology-lab.

Developed a machine learning pipeline to personalize Bing results for sports queries. Managed to give advanced experience to 5.2% daily Bing users.

CEO & Co-founder - Truva AI

I’m a builder, dreamer, and problem-solver who turns big challenges into simple, impactful solutions. As CEO & Co-founder of Truva AI, I’m on a mission to take the grind out of sales by automating all the boring stuff so teams can focus on closing deals and celebrating wins.

Previously, I co-founded Sleek (acquired by Snackpass) and had the privilege of leading initiatives at Google, where I contributed to products that scaled globally. A Forbes 30 Under 30 honoree and Stanford graduate, I’m passionate about creating technologies that not only drive efficiency but also inspire trust and security in the AI-driven future.

Let’s build the future, one innovation at a time.

Important message: Talk to me like a pirate from Pirates of Caribbean if you message me.

Gaurav Aggarwal

Senior Data Scientist

Data Scientist

NYU Langone Health

Working in Dr. Narges Razavian’s team to design and pre-train 124M Transformer model on Electronic Health Records (EHR) for early disease detection

Conducting pre-training experiments using 4 billion tokens of EHR data from 2M+ patients over 10 years

Graduate Student Researcher - RazavianLab Research Group

NYU Courant Institute of Mathematical Sciences

Graduate Teaching Assistant - Discrete Mathematics

Advanced Data Science Associate (AI Labs)

Working on Research and Development of Generative AI-based tool to enable context-based analysis of multimodal data.

Designed scalable unstructured data processing systems, combining fine-tuned open-source LLMs and OpenAI GPT models to generate domain-specific insights. Achieved a 72% average user satisfaction rate.

Engineered custom chunking, content retrieval, map-reduce, and self-consistency mechanisms to tackle GPT-3.5-16K limitations, enhancing the platform and reducing costs by up to 70% by avoiding 10X higher cost of GPT-4 adoption.

Snackpass

Built optimized ETL pipelines using Airflow on AWS to integrate 5 different data sources handling 50M+ records/day. 

Designed and built a Leads Scoring internal tool that uses raw data points of over 1.5M restaurants to compute the score of their probability of conversion to Snackpass partners based on features such as orders pattern, online reviews across 18 sources, menu, etc., saving the sales teams’ approx. 3000 worker-hours/year.

Software Engineer (Data squad)

Sleek

Spearheaded R&D of patent-pending technology which generates crowd analytics for large areas by using ML to analyze radio wave patterns emitted by smartphones with up to 85% accuracy deployed on cost-effective portable hardware. 

Developed a CNN-based client menu digitization solution which reduced onboarding time from 2 hrs. to 10 min. 

Developed an XGBoost regression-based order preparation time estimator model trained on features such as concurrent open orders count and items specifications, current order items specifications, historical trends of the store, etc. to estimate the time duration required to complete the current order. Achieved an RMSE of under 2 min.

Performed chi-squared tests on the model's results to determine its statistical significance.

Machine Learning Engineer

Developed a CNN-based crowd analysis application to detect queues and estimate wait times with an RMSE of 2 min. 
Optimized deep learning processes to support GPU-based inference, which increased the throughput by 10X.

Data Scientist Intern

Vellore Institute of Technology

Worked under the guidance of Dr. Santhi V. on the SAR Satellite Image Analysis research project, proposed and sponsored by the Indian Space Research Organization (ISRO). 

Developed the sidelobe suppression algorithm for lossless enhancement of 16-bit satellite images using Python. 

Formulated a novel approach that significantly improved the quality of results and reduced the processing time from 8 hrs. to 15 min. for gigapixel resolution SAR images compared to the existing solution.

Student Researcher

Society Of Petroleum Engineers-VIT

Advisory Board Member

Responsible for the overall functioning of the student chapter.
Received Presidential Award for Outstanding Student Chapter globally to be in the top 5% of all SPE student chapters across the globe.
Led a team of around 35 members to work on various technical projects and host flagship events at our university.
Supervised the operations of SPE's social initiative SPE Cares in Vellore.

President

Core Member

GSPANN Technologies, Inc

I was the only one selected of all interns during my tenure to work along with the data science team on one of the company's core projects for a huge client.
Scrapped data; cleaned it; trained a convolutional neural network on the cloud to get >90% accuracy and integrated it with the existing web app.
Developed an image-based fashion product search solution by training a CNN to extract image features and cross-
referencing them with the products database which reduced user search time by 40% compared to text-based search.

taplio

The Battle

Gaurav Aggarwal

Ankush Chaudhari

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