Ansh Srivastava AI/ML Engineer

Ansh Srivastava

Computer Science Engineer | AI/ML Specialist | Innovation Enthusiast

Passionate about creating intelligent solutions that bridge technology and human needs. I'm a Computer Science Engineering student at RVCE, specializing in AI/ML and innovation, driven by a mission to solve complex problems through intelligent systems.

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About Me

Passionate about creating intelligent solutions

I'm a Computer Science Engineering student at RV College of Engineering (RVCE) with a GPA of 8.11/10, specializing in AI/ML and innovation. My journey in technology is driven by a passion for solving complex problems and creating meaningful impact through intelligent systems.

Currently based in Bangalore, India, I focus on developing cutting-edge solutions in machine learning, artificial intelligence, and emerging technologies. My work spans from healthcare AI safety to autonomous systems and accessibility technology, always with an eye toward real-world applications.

I've had the privilege of working with leading organizations like HCLTech and DRDO, contributing to research in emerging technologies, cybersecurity, and AI safety. My award-winning projects demonstrate a commitment to innovation that bridges technical excellence with social impact.

8.11
GPA / 10
8+
Major Projects
2
Research Internships

Professional Experience

Research and development experience

Project Intern

DRDO: Centre for Artificial Intelligence and Robotics
November 2024 – February 2025
  • Scraped APT data from MITRE ATT&CK and structured it into comprehensive datasets
  • Built a Neo4j-based knowledge graph with hierarchical relationships between APT groups, tactics, techniques, and software
  • Converted graph data into dense vector embeddings and stored them in Pinecone index
  • Fine-tuned LLaMA 3 (8B) for cybersecurity and implemented RAG for context-aware responses

Technology Trends Analyst Intern

HCLTech
October 2024 – December 2024
  • Conducted detailed trend analysis of emerging technologies including Decentralized AI and Quantum Software
  • Utilized advanced predictive models such as LSTMs and SARIMAX for market trajectory analysis
  • Contributed findings to the HCL Software Tech Trends Report 2025
  • Aided strategic insights and decision-making for technology adoption

Team Lead - Industry Project

Swan Sorter Systems PVT. LTD
February 2024 – December 2024
  • Led a team of 8 to develop grain quality analysis system for rice and dal samples
  • Implemented deep learning models and traditional image processing algorithms
  • Designed complete hardware and software solution using Raspberry Pi
  • Successfully delivered production-ready system under Prof. Dr K Badarinath guidance

Featured Projects

Innovative solutions across diverse domains

AI/Education

AI-Powered Learning Management System

Teacher Portal: Auto-generates quizzes from course documents using RAG pipelines. Student Portal: Answers queries from books, generates project ideas using LLMs.

Python RAG LLMs NLP
Streamlined Educational Workflows
🏆 Award Winner
Accessibility Tech

Assistive Braille Display

A device for visually impaired users that receives OCR-processed text and converts it into Braille in real time to updating the display.

Raspberry Pi OpenCV Hardware Design IoT
RVCE IOT Lab to Market Product
AR/Wearables/Android

EduAR Edcuational Visualization

Developed a standalone augmented reality android application for Vuzix M400 smart glasses to recognize mechanical engineering models to assist in visualizing complex systems.

Unity ARCore Computer Vision 3D Modeling
Enhanced Educational Augmented Reality Experience
Cybersecurity

Cybersecurity Knowledge Graph

Constructed a multimodal knowledge graph comprising APT groups, tools, and tactics from MITRE ATT&CK-like data with fine-tuned LLaMA 3 for cybersecurity responses.

Neo4j LLaMA 3 RAG Pinecone
DRDO Research Project
AI Safety

Medical AI Safety Framework

Investigated and mitigated hallucination risks in LLMs designed for clinical decision-making, developing safety protocols for healthcare AI applications.

TensorFlow PyTorch Healthcare AI Safety Research
AI Research Day Recognition
Computer Vision

Grain Analysis Machine

Led a team of 8 to develop a product analyzing rice and dal quality for Swan Sorter Systems, using deep learning and traditional image processing for grain classification.

Deep Learning OpenCV Raspberry Pi Image Processing
Industry Partnership Success
Machine Learning

Adaptive Path Navigator

Developed a ML algorithm based on A* and NeuroEvolution of Augmenting Topologies that simulates a car learning optimal paths through complex courses with obstacles.

A* Algorithm NEAT Genetic Algorithms Simulation
Autonomous Navigation Research

Technical Expertise

Expertise across multiple domains

Programming Languages

Python
Java
C

AI/ML Frameworks

TensorFlow
PyTorch
Scikit-Learn
OpenCV

Data Science

NumPy
Pandas
Data Analysis

Tools & Technologies

Neo4j
Pinecone
Flask
Android Studio

What People Say

Feedback from colleagues and mentors

"Ansh is a focused and technically strong team lead who delivers under pressure. He led our project to success while balancing model performance and product quality."

Team Member
Grain Analysis Project

"The knowledge graph solution Ansh developed was incredibly intuitive. His ability to integrate Neo4j with AI tools was impressive."

Research Supervisor
DRDO CAIR

"Ansh's LMS project helped improve quiz quality and saved countless hours in manual work. His RAG implementation was particularly well-executed."

Education Partner
AI-Powered LMS

Let's Connect

Ready to collaborate on innovative projects

Email

anshsrivastava1924@gmail.com

LinkedIn

/ansh-srivastava-ab908524b

Location

Bangalore, India

Education

B.E. Computer Science, RVCE