Learner | R&D | Entrepreneur

Balaji Balakrishnan

OpsUnify | Preemptly | SoftVersify

Building innovative solutions with a focus on solving real-world problems in enterprise workflows.

Balaji Balakrishnan

About Me

10+Years Experience
3Startups

Technical Skills

Gen AI
LLM/SLM
RAG/HYDE
MCP
ML
Data Science
Deep Learning
TensorFlow
PyTorch
AWS
Kubernetes
Python
Go
ReactJS
NodeJS
REST APIs
NoSQL
Microservices
CI/CD
Agile

Professional Experience

Founder & Director

OpsUnify

2024 - Present

Highly customizable multi-AI agent that can serve as a decision-making agent and enterprise ops strategizing agent, empowering businesses to make precise, data-backed decisions. By incorporating Large Language Models (LLMs) and Generative AI

Machine Learning

Preemptly

2025 - Present

Developing data-driven analytics and insights for post sales teams at Preemptly, utilizing AI integrations and MLOps. Building innovative data driven insights and solutions to enhance operational efficiency and drive business growth. Collaborated with cross-functional teams to implement cutting-edge AI technologies, contributing to the company's success.

Head of Cyber AI

Kriyavan

2022 - Present

Implementing AI solutions in cyber security at KRIYAVAN, enhancing threat detection and response. Integrated artificial intelligence into cybersecurity operations, improving efficiency and proactive threat handling.

Machine Learning
Deep Learning
Statistical Machine Learning
Python
TensorFlow

Data Scientist

ACRD (LAM Research Project)

2021

Developed statistical machine learning models for identifying defects during manufacturing and fabrication processes through SEM analysis. Led end-to-end project execution to ensure successful implementation of the models. Achieved a significant improvement in identifying defect rates, resulting in improved detection rates ensuring quality and cost savings.

Machine Learning
Deep Learning
Statistical Machine Learning
Python
TensorFlow
Pytorch

Research Fellow

JRF (ISRO-RESPOND)

2018 - 2020

Developed a deep learning model to classify roads and buildings in satellite images using TensorFlow and Python. Enhanced and enlarged satellite images to improve feature detection accuracy.

Machine Learning
Deep Learning
Statistical Machine Learning
Python
TensorFlow
AWS

Devlancer Technologies

Freelance Developer

2015 - 2018

Developed and optimized machine learning models for object detection, image processing, and facial recognition tasks using OpenCV. Collaborated with professors on academic projects, contributing to publications in context modeling and multi-modal machine learning. Contributed to various data science initiatives, including data analysis, visualization, and predictive modeling.

Python
Cuda
Java
Android
JavaScript
MySQL

Expertise

Leveraging cutting-edge AI technologies to build intelligent systems that solve complex problems.

AI Analytics

Extracting insights from data using advanced analytics and AI techniques.

Deep Learning

Developing neural networks for computer vision, NLP, and time-series analysis.

Gen AI

Creating new content and solutions using advanced algorithms.

LLM's

Implementing large language models to enhance natural language understanding, automate content creation, and power conversational AI.

MLOps & DevSecOps

Implementing best practices to deploy, monitor, and maintain AI models in production, ensuring their effectiveness and reliability.

AI Agents

Building intelligent agents to automate tasks, enhance decision-making, and streamline complex workflows.

Ethical AI

the development and deployment of AI systems that prioritize fairness, transparency, accountability, and respect for human values, aiming to promote safe and responsible AI use.

Explainable AI

Explainable AI (XAI) focuses on making AI models and their decisions understandable to humans, providing insights into how they arrive at predictions, and addressing concerns about fairness, accountability, and trust.

Get in Touch

Interested in working together or have a question? Feel free to reach out to me directly or through social media.