---
title: "Harshit D. - Software Engineer II in Bengaluru | Tal"
description: "Meet Harshit D., Forward Deployed Engineer || AI/ML Engineer || Nemoclaw, Openclaw, Agentic AI & LLM Systems || Network Security Automation || SWE 2 @HPE based in Bengaluru. AI stack includes anthropic apis, claude code, and deepseek. Explore public work links including github."
image: "https://tal.club/meet/harshit-dayal/share-image"
---

# Harshit D\. on Tal

## Headline

Forward Deployed Engineer \|\| AI/ML Engineer \|\| Nemoclaw, Openclaw, Agentic AI & LLM Systems \|\| Network Security Automation \|\| SWE 2 @HPE

## About

With a background in AI research and a love for all things tech, I'm on a mission to bring innovative solutions to life\. My journey began as a Software Engineering Intern, where I honed my skills in data analysis, neural networks, and computer vision\. Now, as an Artificial Intelligence Developer and Researcher, I manage infrastructure, consult with leadership to define machine learning objectives, and delve into deep learning models for tackling cutting\-edge challenges like large language models and deep fake graphics\. My tech arsenal includes Python, TensorFlow, Keras, PyTorch, OpenCV, C\+\+, C, JAVA, MySQL, Ruby and, R\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

deepseek

github copilot

langchain

openclaw

## Work experience

Software Engineer II at Hewlett Packard Enterprise, Feb 2024 \- Present · 2 yrs 7 mos, Bengaluru, Karnataka, India, I build Agentic AI systems and the full\-stack applications around them, from the model layer down to the interface\. What I do day to day: • Design agent logic end to end — prompt architecture, tool selection, retry and fallback behaviour, and validating model output before it triggers any real\-world action\. • Build the backend: REST APIs and microservices in Python/FastAPI, relational schema design, background workers, and the integration layer connecting agents to external systems\. • Build the front end: React and TypeScript interfaces for data\-heavy operational workflows — live state views, diff and comparison views, approval flows\. • Own reliability for non\-deterministic systems: permission boundaries, output validation, rollback paths, and regression testing for LLM behaviour\. Results have included cutting incident triage time by roughly 75% and reducing test cycle time 62%, with one system replacing an outsourced manual workflow entirely\. Beyond delivery, I review code for the team, run onboarding for engineers new to agent development, and present technical work to senior leadership\. Python · FastAPI · React · TypeScript · PostgreSQL · REST APIs · Microservices · LLM orchestration · Docker · Agile

Data and Machine Learning Engineer \- Intern at mlexperts\.ai, Jan 2024 \- Feb 2024 · 2 mos

Software Engineer Intern, Machine Learning at ByteLearn\.com, Jun 2023 \- Mar 2024 · 10 mos, Delhi, India, As a Software Engineering Intern specializing in Machine Learning since June 2023, I've made substantial contributions to our project\. I organized a vast database of over 10 million mathematical problem questions, applying unique cluster IDs for streamlined access\. Additionally, I developed Neural Networks for efficient data classification, which greatly improved our AI's problem\-solving capabilities\. My role also involved data analysis, converting unstructured information into valuable insights, and contributing to Computer Vision applications in an AI\-based math tutor\. Notably, I achieved an impressive 97% accuracy rate with self\-trained algorithms and a 98% accuracy rate in query\-based sorting\. My tech stack includes expertise in Machine Learning, Neural Networks, Data Analysis, Computer Vision, and proficiency in Python, TensorFlow, and PyTorch\.

Artificial Intelligence Researcher at OpenOrigins, Jun 2023 \- Mar 2024 · 10 mos, Cambridge, England, United Kingdom, In my role as an Artificial Intelligence Researcher since May 2023, I've played a pivotal part in managing infrastructure and data pipelines, ensuring a smooth transition of codes into production\. My contributions extend beyond technical implementation, as I regularly consult with managers to fine\-tune and delineate our machine learning objectives\. My primary focus lies in the domain of Computer Vision, where I meticulously analyze deep fake graphics and employ Deep Learning models, harnessing technologies like Python, TensorFlow, and PyTorch, to provide accurate annotations\. This challenging work in the realm of AI has allowed me to make a meaningful impact in my role\.

Co\-founder, Machine Learning Head at JUU india, Nov 2021 \- Aug 2023 · 1 yr 10 mos, Manipal, Founding Team Member, Head ML, OpenCV As a founding team member, I spearhead Machine Learning initiatives at \[Startup Name\], with a special emphasis on leveraging OpenCV for cutting\-edge solutions\. Guiding the development of advanced algorithms and AI techniques, my role centers on translating ideas into AI\-driven products that make a tangible impact\. Utilizing a tech stack that includes Python, TensorFlow, PyTorch, and OpenCV, I'm contributing to our dynamic startup culture as we redefine the future of technology and innovation\.

## Education

B\.Tech, Electrical, Electronics and Communications Engineering, Manipal institute of technology

12th Pass, Mathematics and Computer Science, Delhi Public School Patna

## Public links

- github: https://github\.com/HVD27

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

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