Nirant Kasliwal

Co-Founder

Bengaluru, Karnataka, India8 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Grew FastEmbed to over 1M installs.
Authored recommended NLP book by Andrew Ng.
Rebuilt key metrics for Ragas LLM eval framework.

Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in reliability and product development.

Contact

Skills

Core Skills

Ai EngineeringReliability EngineeringInformation RetrievalProduct DevelopmentData EngineeringMachine LearningResearch EngineeringSoftware EngineeringData Science

Other Skills

Agent AnalyticsAgent EngineeringRAGFastEmbeddbtDagsterFishtown Analytics dbtPythonNatural Language Processing (NLP)Deep LearningData MiningData AnalysisRDjangoJupyter Notebooks

About

Your AI agent works in demos. Then users complain about responses you never saw coming. I help AI teams ship agents that stay reliable in production — build, monitor, and eval. About me: Built FastEmbed (1M+ installs, used by NVIDIA NeMo Guardrails). Author of NLP book recommended by Andrew Ng to Stanford CS230. Rebuilt key metrics for Ragas (most-used LLM eval framework) Currently: Helping teams like HeyKavana and Dashtoon catch agent failures before users do. DM me "AGENT" if you're shipping AI and want fewer production surprises.

Experience

8 yrs 11 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 10 mos

Current Experience

Scaled focus

Founder

Jul 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

We help teams ship reliable AI agents. How do we do that?
2 Tools:
Agent Analytics: Mixpanel and Amplitude perfected the "Click as Event" for the app era. We're on a quest to find the event for Agents. With those events, we can build the Analytics layer businesses, and not just SRE (latency, cost) cares about
Agent Engineering: We design, build and maintain self-improving agents with human-in-the-loop for enterprises with more than 100 employees

Agent AnalyticsAgent EngineeringAI EngineeringReliability Engineering

Qdrant

Artificial Intelligence Engineer

Jun 2023 – Jun 2024 · 1 yr · Remote

Helped Qdrant go from a single product to multiple product business,
Grew FastEmbed from 0 to 1M+ installs in less than a year: https://qdrant.github.io/fastembed/
Used by NVIDIA NeMo Guardrails, hundreds of more OSS packages

Information RetrievalRAGFastEmbedProduct Development

Career break

Personal goal pursuit

Nov 2022 – Sep 2023 · 10 mos

- Built and manage India's best GenAI WA Community: https://nas.io/the-generativeai-group

Sundial

Software Engineer

Oct 2021 – Oct 2022 · 1 yr · India · On-site

dbtDagsterFishtown Analytics dbtData Engineering

Verloop

Machine Learning/Data Science Lead

Jan 2019 – Apr 2021 · 2 yrs 3 mos · Bengaluru Area, India

Designed, built, and deployed our intent ranking and selection systems which serve >90% of the company-wide query volume. Including across non-English languages such as Arabic, Hindi, Marathi, and Tamil
With the team, designed, built and deployed our English entity logic engines which serve all of the company volume
Founding ML Engineer in the team. Hired and built out the ML/DS team

Machine Learning

Soroco

Research Software Engineer

Oct 2017 – Dec 2018 · 1 yr 2 mos · Bengaluru Area, India

Helping enterprise automate the boring stuff away, so that people can do what matters the most to them!
Contributed to challenges around image segmentation, fine grained vision, language understanding and process automation. We worked on SoTA semantic segmentation for documents, building a Google for Enterprise Documents along the way.

Research Engineering

Samsung electronics

Software Engineer (Research)

Aug 2016 – Sep 2017 · 1 yr 1 mo · Bengaluru, India

Worked with the Advanced Technologies Lab in the Car Analytics Team. The challenges we tackle are around Samsung's Connected Car platform.
Understanding driver behaviour with reference to safety, of the driver and fellow travelers is of interest to me. This is exciting because it opens opportunities to do safety assessment of autonomous driving agents. As part of this work, I work on event detection and classification on data from an Internet enabled device sitting inside the car such as a OBD Dongle.

Software Engineering

Belong.co

Data Science

Jul 2015 – Dec 2015 · 5 mos · Bengaluru, India · On-site

Designed, built and deployed a machine learning product to predict whether a person is willing to change jobs using publicly available social media data only
Built using the Anaconda distribution stack, deployed using Flask (MVC Web framework) and SQLAlchemy (ORM)
Improved the model accuracy by absolute 22% using random forest classifier over hand crafted features

Data Science