Blending code and creativity to shape the future with deep learning, and generative AI.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tredence_analytics
April 19, 2026 – Present
A PyTorch implementation of a feed-forward network that learns to prune itself during training. Instead of removing weights after training, every weight is paired with a learnable gate and an L1 penalty drives unnecessary gates to zero.
View ProjectneuroNER
December 23, 2025 – Present
A BiLSTM-CRF model for Named Entity Recognition in Tamil text using character-level and word-level embeddings.
View ProjectCTVO-MultiView-VirtualTryOn
October 13, 2025 – November 24, 2025
CTVO-MultiView-VirtualTryOn — GitHub repository
View ProjectReAct-reasoning-and-acting
July 29, 2025 – July 30, 2025
A research implementation of the ReAct framework (Reasoning + Acting) for language models, combining LLM reasoning with actionable steps to improve problem-solving performance.
View Projectlifelong-LLM-agents
June 24, 2025 – June 24, 2025
A lifelong agent that stores all the episodic and semantic memory and utilizes them in the future conversations , this project is done using the "Generative Agents: Interactive Simulacra of Human Behavior" paper as reference
View ProjectMedRAG
June 17, 2025 – June 17, 2025
This project is a Diabetic chatbot named Medplus that answers all the diabetes based queries using the RAG model that retrieves the wanted information based on context
View Projectsaveme
April 4, 2025 – June 18, 2025
Decentralized crypto protection with automated smart contracts and real-time anomaly detection.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards research-oriented and advanced AI/ML topics, which could indicate a good fit for an innovative and technically driven culture. The diversity of projects, from network pruning to decentralized crypto protection, suggests a broad curiosity and willingness to explore different domains. However, the lack of team-based or professional experience makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, indicating a focus on technical output, but do not provide insights into collaboration, problem-solving approach, or communication style in a team setting.