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Co-Founder @ Gistly.ai | Full observability for every customer call
AI agents are everywhere in demos. Almost nowhere in production. I'm building Gistly to change that. We started with one of the messiest problems in enterprise operations: quality assurance in contact centers. Most BPOs audit 2-3% of customer calls manually. The other 97%? Nobody listens to them. Compliance violations, coaching opportunities, revenue leaks, all invisible. So we built an AI agent that audits 100% of conversations autonomously. It processes calls in 10+ languages, handles Hindi-English code-switching in real time, and delivers the first insights within 48 hours of deployment. No 6-month integration. No army of consultants. The bigger bet: what we're building at Gistly isn't just a QA tool. It's a proof point for what autonomous AI agents can do in real enterprise environments. Messy data. Multiple languages. Regulatory constraints. Real stakes. I believe the next wave of AI isn't chatbots or copilots. It's autonomous agents running critical operations at scale. India, with its massive services economy and multilingual complexity, is the best place to build this. If you're working on AI agents, building in the enterprise AI space, or leading QA/ops, I'd love to connect. Reach out: ashit@gistly.ai
Birla Institute of Technology and Science, Pilani
Master of Science, Economics
January 1, 2014 – January 1, 2019
Birla Institute of Technology and Science, Pilani
Bachelor of Technology - BTech, Chemical Engineering
January 1, 2014 – January 1, 2019
Little World School, Jabalpur
High School
January 1, 1999 – January 1, 2014
Gistly
Co-Founder
April 1, 2024 – Present
Bengaluru · On-site
Rapido
Data Scientist
June 1, 2023 – June 1, 2024
Bengaluru, Karnataka, India
Rapido
Associate Data Scientist
October 1, 2021 – June 1, 2023
Bengaluru, Karnataka, India
Axtria - Ingenious Insights
Associate - Data Science
May 1, 2020 – October 1, 2021
Gurgaon, Haryana, India
Axtria - Ingenious Insights
Analyst
June 1, 2019 – May 1, 2020
Gurgaon, Haryana, India
Birla Institute of Technology and Science, Pilani
Data Driven Fault Diagnosis on benchmark Teneessee Eastman Process
January 1, 2019 – May 1, 2019
Pilani
Birla Institute of Technology and Science, Pilani
Large Scale Dynamic Predictive Regressions
August 1, 2018 – December 1, 2018
Pilani
OYO
Data Science Intern
June 1, 2018 – September 1, 2018
Gurgaon, India
GeoIQ.io
Deep Learning Intern
March 1, 2018 – May 1, 2018
India
Janta Ka Mood
Intern
May 1, 2017 – July 1, 2017
Gurgaon, India
OnlineTyari
Data Science Intern
December 1, 2015 – January 1, 2016
Gurgaon, India
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
March 1, 2018 – May 1, 2018
Conducted document level sentiment classification on large scale review dataset from Yelp Dataset Challenge.Trained (LSTM-GRNN) and compared its results with traditional RNNs.Traditional RNNs were extremely weak in modeling document composition and adding neural gates dramatically boosted the performance
Forecasting Cryptocurrency Exchange Rate in High Volatility Environment
August 1, 2017 – December 1, 2017
Performed Exploratory Data Analysis (EDA) and Trained an Autoregressive Integrated Moving Average(ARIMA) model for forecasting bitcoin prices.
Android Applications for all the three major university festivals
January 1, 2015 – December 1, 2015
BOSM 2015(Sports Festival), OASIS 2015(Cultural Festival), APOGEE 2015(Technical Festival) – These applications provided a live chat room and an event schedule with a feature enabling the user to get the list of events scheduled at that moment for 6000+ participants & students
Applied Data Science Specialization
Coursera
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from sentiment analysis and cryptocurrency forecasting to Android app development and automatic building detection, demonstrates a broad interest in technology and problem-solving. Their experience in both established companies (Rapido, Axtria, OYO) and a startup (Gistly) suggests adaptability to different work environments. The target role of ML Engineer aligns well with their demonstrated expertise in applying machine learning techniques to various domains.
Soft Skills & Operational Fit
The candidate's co-founder experience at Gistly, where they built and deployed autonomous AI agents, suggests strong problem-solving, initiative, and project ownership. Their work on various projects and internships indicates adaptability and a collaborative mindset. The descriptions of their work at Axtria highlight client-facing skills and the ability to translate business problems into analytical solutions.