Shirsh Mall

Data Scientist

New Delhi, Delhi, India2 yrs 5 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in Generative AI and conversational solutions.
  • Strong background in machine learning and data science.
  • Proven ability to translate complex data into business value.
Stackforce AI infers this person is a data scientist specializing in Generative AI and machine learning solutions.

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Skills

Core Skills

Machine LearningGenerative AiConversational Ai

Other Skills

Agent architecturesAmazon Web Services (AWS)Analytical SkillsAnalyticsArtificial Intelligence (AI)Artificial Neural NetworksChatbot DevelopmentComputational PhysicsComputer VisionConvolutional Neural Networks (CNN)Data AnalysisData AnalyticsData PreparationData ScienceData Statistics

About

👋 I am Shirsh Mall, a data scientist and physics graduate from IIT Delhi and DU. I have a strong inclination towards crafting innovative GenAI, conversational AI, and machine learning solutions that turn complex data challenges into real business value. Current Job: I serve as an Associate Data Scientist at Akaike Technologies in Bangalore. In my current role, I design and deliver AI-based conversational, multi-modal, and machine learning solutions, focusing on building agentic workflows, agent architectures, robust LLM evaluation frameworks, and advanced context engineering strategies. My responsibilities include developing impactful demonstrations and POCs for both products and projects, preparing client-focused technical proposals and solution documents, and collaborating cross-functionally to translate business needs into scalable, production-ready GenAI systems. I leverage expertise in Python, deep learning, generative modelling, and NLP to enable organisations to unlock value from data and drive innovation using the latest advancements in generative AI. Educational Background: - I hold a Master's degree in Physics (MSc.) from IIT Delhi, complemented by specialised online courses and hands-on projects. This has cultivated my expertise in key domains such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. Before my Master’s, I earned a Bachelor’s degree (BSc) in Physics from Dyal Singh College, University of Delhi. Project Portfolio: - My project spectrum spans from foundational regression and classification models to advanced multi-modal deep learning and GenAI solutions.

Experience

2 yrs 5 mos
Total Experience
2 yrs 5 mos
Average Tenure
2 yrs 5 mos
Current Experience

Akaike technologies

2 roles

Data Scientist - 1

Promoted

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India

PythonDeep LearningGenerative AINLPMachine Learning

Associate Data Scientist

Jan 2024 – Jul 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India

  • Contributing to the development of the product 'BYOB - Build Your Own Brain', a GenAI-powered Conversational analytics solution for natural language BI and automated insight generation.
  • Building conversational AI, multi-modal, and machine learning solutions, agentic workflows, agent architectures, LLM evaluation methods, and context engineering strategies.
  • Prepare client-focused technical proposals, RFPs, and solution documents/diagrams while developing and delivering impactful demonstrations and POCs for both product and projects.

Soul ai

LLM - Evaluation Specialist

Oct 2023 – Dec 2023 · 2 mos · Remote

  • LLM Human-Evaluation: Assessed the output of Large Language Models (LLM) based Chatbot in conversational question answering of advanced physics content, meticulously refining responses to ensure precision and clarity.
  • Quality Assurance: Ensured error-free, engaging, and well-structured chatbot interactions, starting from basic concepts and moving towards advanced topics, ensuring comprehensive user engagement.

Education

Indian Institute of Technology, Delhi

M.Sc Physics — Physics

Jul 2021 – Jul 2023

Dyal Singh College

B.Sc Physics (Hons.) — Physics

Jul 2018 – Jul 2021

Govt. Sarvodaya Bal Vidyalaya

CBSE Board Class 12

Jan 2015 – Jan 2017

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