Open to opportunities

Nishant Babel

@nishantbabel

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Senior ML engineer and applied AI leader specializing in LLMs, MLOps and production ML systems.

India

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What I'm looking for

I seek senior technical roles building production LLM/NLP systems with strong MLOps, cross‑functional teams, responsible AI practices, and measurable business impact.

I am a Senior ML Engineer and applied AI leader with 10+ years building and scaling ML, LLM and NLP systems across fintech, edtech, and SaaS. I focus on end-to-end model deployment, MLOps, latency optimization, and driving measurable business ROI.

I have led product and engineering efforts — from architecting CheQ Wisor (an AI credit‑card assistant serving 100K+ users) to co‑founding AI analytics and B2B SaaS startups where I implemented CI/CD, model registries, vector DBs and achieved high uptime and cost savings.

I prioritize Responsible AI, model governance and cross‑functional mentorship, and I deliver robust production systems using technologies like LangChain, Hugging Face, Pinecone/FAISS, TensorFlow/PyTorch, Kubernetes, and major cloud platforms.

Experience

Work history, roles, and key accomplishments

AIML Lead

CheQ

Nov 2024 - Jul 2025 (8 months)

Spearheaded development of CheQ Wisor, India’s AI-powered credit card assistant, achieving <5s p90 latency and 99.9% API success rates for 100K+ users; reduced infra costs by 40% via Google Cloud Run OCR pipelines.

Text2SQL Google Cloud MLOps Prompt Engineering

Co-founder & CTO

VireInsights

Mar 2023 - Aug 2024 (1 year 5 months)

Architected and shipped an AI product analytics platform processing 1M+ chat sessions and cut analytics cost by 80% versus full LLM pipelines; implemented production MLOps and secured ₹1Cr+ angel investment.

BERTopic C TFIDF Pinecone MLOps CI CD Model Registry Product Analytics

Co-founder & CPTO

MyParticipants

Sep 2022 - Jan 2023 (4 months)

Developed a B2B SaaS platform (Flask, PostgreSQL, AWS) that reduced participant onboarding from 3 weeks to 5 days and increased study completion rates by 25% through A/B testing and funnel analytics.

Flask PostgreSQL AWS Logistic Regression A B Testing Funnel Analytics Anomaly Detection

Senior Data Scientist

Moneyview

Aug 2019 - Feb 2022 (2 years 6 months)

Built and deployed a lead scoring model using Random Forests on AWS that drove a 10x uplift in conversions with 85% accuracy across 1M+ users; delivered text classification with 92% precision for user validation.

Random Forest Logistic Regression

Head Data Science Instructor

Corpnce Technologies

Apr 2018 - May 2019 (1 year 1 month)

Designed and led a data science bootcamp covering statistics, Python, ML and visualization; mentored 12 students with a 100% placement rate.

Python Machine Learning Statistics Mentoring Data Visualization Curriculum Design

Data Scientist

Educational Initiatives

Aug 2017 - Jan 2019 (1 year 5 months)

Enhanced Bayesian Knowledge Tracing to flag low learning-rate content, reducing manual review by 80%; built TF-IDF + XGBoost and n-gram models achieving 95% accuracy for real-time moderation.

Bayesian Knowledge Tracing TF IDF XGBoost Python

Account Manager

InMobi

Oct 2015 - Apr 2017 (1 year 6 months)

Managed ad performance and client strategy across META region with annual budgets of USD 3M+, mentoring teams to improve CTR and ROI by 15–20% through analytics-driven optimization.

Ad Operations Campaign Optimization Client Strategy Analytics Budget Management Mentoring

Trainee Decision Scientist

MuSigma

Sep 2014 - Sep 2015 (1 year)

Implemented ARIMA and GLS forecasting with >95% accuracy for smartphone demand and created interactive Tableau dashboards to visualize prediction consumption.

ARIMA Forecasting Tableau Data Visualization Time Series Analysis