Principal AI Engineer at Bangalore-based Startup. Learning, Building, and Sharing along the journey.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Trellissoft
Data Scientist
June 20, 2026 – Present
Easy-vLLM
April 28, 2026 – Present
A simple UI and config generator to run vLLM with Docker, GPU settings, model config parsing, memory estimation, and OpenAI-compatible test clients.
View ProjectSpeech-Annotation-Tool
October 14, 2023 – Present
Review, correct, and export ASR transcripts at scale. Web-based ASR accuracy workbench for reviewing, correcting, and exporting speech-to-text transcripts using Whisper, FFmpeg, and Flask.
View ProjectLLM-Minutes-of-Meeting
October 11, 2023 – Present
A tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient in your meetings, and get ready for Phase 2 where we'll be open for contributions to enable real-time meeting transcription!
View ProjectContext-Search-Engine
October 8, 2023 – Present
Context Search Engine is an AI-powered semantic document search platform built for learning, experimentation, and real-world prototyping. It demonstrates the full lifecycle of modern vector-based search — from document ingestion to chunking, embedding, indexing, and contextual query matching.
View ProjectML-Algorithms-from-scratch
August 3, 2023 – Present
This GitHub repository contains Python implementations of the top machine learning algorithms from scratch using only the Python programming language and the NumPy library. The goal of this repository is to help beginners and aspiring data scientists understand the inner workings of these algorithms by providing transparent and readable code.
View ProjectMovie-Recommendation-System
January 15, 2020 – Present
Movie Recommendation System with Complete End-to-End Pipeline, Model Integration & Web Application Hosted.
View ProjectSkin-Cancer-Detection
June 15, 2019 – Present
A production-grade deep learning system for automated skin lesion classification using the HAM10000 dataset. This system provides training, evaluation, and real-time inference capabilities for detecting seven types of skin lesions.
View ProjectAutoencoders-Decoders-using-Keras
April 14, 2019 – Present
This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.
View ProjectCoursera_capstone
January 27, 2019 – Present
This repo contains Applied datascience capstone project offered by IBM through cousera.
View ProjectFIFA-Management-System-DBMS
January 20, 2019 – Present
This repository contains the whole project. This project was intended to exhibit as a DBMS project but it can also act as a web development project as it includes complete front end and back end.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for data science through numerous personal projects, which aligns well with a culture that values continuous learning and practical application. The diversity of projects (recommendation systems, NLP, computer vision, search engines) suggests a broad interest in the field. However, the lack of team-based or collaborative projects in the provided data makes it difficult to assess direct cultural fit regarding teamwork and collaboration within an organizational setting. The candidate's current role as 'Data Scientist' at Trellissoft, though recent, indicates alignment with the target role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, capable of taking projects from conception to deployment. The variety of projects indicates adaptability and a willingness to explore different domains within data science. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.