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applied ai @mem0ai , IIT Roorkee'26 @dsgiitr
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Assessing your cultural and operational fit
sage-mem
April 6, 2026 – Present
SAGE-Mem: write-time defense for multimodal agent memory. Stops poisoned writes before they persist, with provenance-aware retrieval. Accepted at ICML 2026 SCALE Workshop.
View ProjectDL-Playground
November 25, 2025 – Present
DL-Playground is an interactive, web-based visual editor for designing, prototyping, and understanding PyTorch neural network architectures.
View Projecttranspatch_ViTCNN
September 15, 2025 – November 6, 2025
Offcial code for the abstract "TransPatch: Learning a Universal Adversarial Patch for ViT–CNN Cross-Architecture Transfer in Semantic Segmentation"
View ProjectRevisting_CroPA
May 27, 2025 – September 4, 2025
A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language Models
View Projectvehicle_trajectory_prediction
March 26, 2025 – May 14, 2025
A Unified Bi-LSTM Architecture with Spatial–Dynamic Attention for Vehicle Trajectory Prediction and Real Time PET-Based Conflict Zone Detection.
View ProjectMultiAgents-infinite-backroom
October 30, 2024 – May 8, 2025
Claude AI Multi agents having conversations without human intervention. Inspired from The Truth Terminal contains deployed Vercel app and Dockerfile for dependency resolves.
View ProjectfeedCode
October 27, 2024 – April 25, 2025
FeedCode is an intelligent feedback tool that provides personalized code reviews based on your coding style and activity. It leverages machine learning to analyze your frequently solved coding problems and generates insightful, context-aware feedback to help you improve your code quality and optimization skills.
View Projectkge-graphRAG
May 23, 2024 – February 16, 2025
Knowledge Graph Embeddings (KGE) for RAG-LLMs. Our goal was to compare the mathematical differences between Traditional Static Multimodal Vector Embeddings (TVE) from Word2Vec and CLIP encoders for {text:image} datasets, and Knowledge Graph Embeddings (KGE) generated with REBEL triplets trained on PyKeen.
View ProjectTech-Enhanced-AI-Interview-Learning-Platform
April 8, 2024 – December 13, 2025
Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.
View ProjectVisual_QA_Bot
January 29, 2024 – July 19, 2024
Integrating YOLOv (You Only Look Once) with Large Language Models (LLMs) for Enhanced Object Detection and Contextual Understanding. This project combines state-of-the-art object detection with advanced language processing to improve accuracy and provide detailed context for detected objects.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, indicating a strong drive for exploration and innovation in AI. However, the lack of team-based or collaborative projects in the provided data makes it difficult to assess cultural fit for a collaborative team environment. The projects are highly relevant to the target role, suggesting a good alignment with the technical culture of an AI-focused organization.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a strong technical focus and ability to execute complex AI projects independently.