Ansh Srivastava - Computer Science Engineer

Computer Science Engineer
AI/ML Developer | 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), 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. I have also been the Captain of RVCE B cricket team for the year 2024-2025

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. Click to find out more

Traffic Signal Prediction

Developed a data-driven SVR-based model to predict green signal durations at urban junctions using lane-wise traffic volumes, vehicle types, time-of-day, and day-of-week patterns.

Machine Learning Python SVR Data Science

Real-time 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.

IoT OCR Accessibility Raspberry Pi

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.

Knowledge Graphs Neo4j LLaMA 3 Cybersecurity

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 Image Processing

EduAR Smart Glasses Application

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

Augmented Reality Android Computer Vision Unity

Adaptive Path Navigation

Developed a Machine Learning algorithm based on A* (A Star) and NEAT (NeuroEvolution of Augmenting Topologies) that simulates a car learning a course provided to it. The car learns and follows the shortest path to complete the course avoiding any obstacles

A* NEAT Simulation AI

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.

AI/ML RAG LLM NLP

Skills & Expertise

Expertise across multiple domains

Programming Languages

Java
C
Python
JavaScript

AI/ML Technologies

Machine Learning
Deep Learning
NLP
Computer Vision

Tools & Frameworks

TensorFlow/PyTorch
React/Node.js
Docker
AWS/Azure

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