---
title: "Akshat Surolia - Senior AI and Ops Engineer in Bengaluru | Tal"
description: "Meet Akshat Surolia, Senior AI and Ops Engineer @ Wysa | AI for mental health based in Bengaluru. AI stack includes hugging face, langchain, and ollama."
image: "https://tal.club/meet/akshat-surolia/share-image"
---

# Akshat Surolia on Tal

## Headline

Senior AI and Ops Engineer @ Wysa \| AI for mental health

## About

As Senior AI and Ops Engineer at Wysa, I lead both the development and operational aspects of advanced artificial intelligence projects that provide personalized and empathetic support to millions of users worldwide who struggle with mental health issues\. I specialize in generative AI architectures, scalable machine learning pipelines, and multilingual AI deployments\. At Wysa, I've developed advanced systems with real\-time monitoring, significantly improved clinical risk detection accuracy, and driven impactful AI innovations\. Passionate about mentoring, research, and continuous learning, I'm always open to connecting and exploring opportunities to create meaningful AI\-driven solutions\. Let's connect and discuss how I can help drive your AI initiatives forward\.

## Location

Bengaluru

## AI stack

hugging face

langchain

ollama

openai

## Work experience

Senior AI and Ops Engineer at Wysa, Apr 2024 \- Present · 2 yrs 1 mo, • Designed and implemented control flow graphs for a flexible, layered, high\-performance asynchronous generative AI architecture integrated with real\-time observability tools\. • Assessed and incorporated an AI Gateway solution to enhance system reliability through circuit breakers, fallback handling, smart model routing, and rate limiting\. • Architected and developed organization\-wide internal tools for large\-scale data pipelines, rapid insights, prompt design/playground, and automate secure MongoDB queries and data fetching pipelines\. • Introduced an innovative clinical escalation framework using advanced analytics techniques, achieving an 89% reduction in false positives and a high F1 score of 0\.98 for critical risk detection\. • Curated and annotated multilingual datasets focusing on suicide, self\-harm, abuse, and moderation to enhance model accuracy and safety standards\. • Built scalable multilingual infrastructure that drastically reduced multilingual deployment timelines from 12 months to under 1 month\. • Analyzed user behavior and developed user profiling and recommendation engines to enhance retention and engagement; contributed to new patents and spearheaded internal research projects\. • Significantly optimized computational performance and reduced resource usage by 90% through techniques like quantization, graph transformation, and operator fusion\. • Trained and refined classifiers and LLMs using PEFT, SetFit, and SFT methodologies, and implemented RAG pipelines for enhanced personalization at scale\. • Established and enforced comprehensive ethical, clinical, and security guardrails for LLMs, acting as the primary contact for AI security compliance and audits\.

Deep Learning Engineer at Wysa, May 2023 \- Apr 2024 · 1 yr, • Led the integration of innovative deep learning models to enhance the Wysa chatbot's capabilities, driving user engagement\. • Designed and implemented a robust MLOps pipeline for large\-scale data processing and model training, ensuring operational excellence\. • Mentored team members on deep learning best practices, fostering a culture of continuous learning and improvement\.

Machine Learning Engineer at Wysa, Jul 2022 \- May 2023 · 11 mos, • Enhanced existing machine learning models, achieving a 300% increase in accuracy through innovative architecture for intent classification\. • Implemented advanced optimization techniques, reducing computational demands and server costs by tenfold\. • Contributed to the development of new patents and led internal research projects to maintain technological leadership\. • Supported multilingual projects, broadening the global applicability of machine learning models\.

Data Scientist at DSMATICS, Aug 2021 \- Jul 2022 · 1 yr, India, • Engineered deep learning models and optimized existing machine learning frameworks, enhancing analytical capabilities across diverse sectors\. • Developed a comprehensive MLOps framework to streamline model lifecycle, improving deployment efficiency\. • Created synthetic datasets, reducing data acquisition costs by 95% while maintaining model accuracy\. • Provided expert consulting and training services, aligning corporate skills with market demands\.

Open Source Mentor at Script Winter of Code, Dec 2020 \- Jan 2021 · 2 mos, India

Deep Learning Engineer at Technocolabs, Oct 2020 \- Nov 2020 · 2 mos, India, • Led a team of 11 members to successfully develop a comprehensive chatbot using Dialogflow, enhancing user support for tech queries\. • Designed and supervised the development of a query\-based extractive summarization model through a custom webhook\. • Achieved an impressive 94\.2% accuracy in Bitcoin price prediction by training and optimizing models with TensorFlow, Cryptonic, and Flask\.

## Education

Master of Science \- MS, Artificial Intelligence and Machine Learning, Gujarat University

Bachelor's degree, Computer Science, GLS University

[View the original profile](https://tal.club/meet/akshat-surolia)

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