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Full Stack AI Architect
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LoPace
January 15, 2026 – Present
LoPace is a bi-directional encoding framework designed to reduce the storage footprint of long-form LLM system prompts by up to 80% without any bit-level information loss, enabling efficient database indexing and rapid context retrieval.
View Projectdeepseek-ocr-multigpu-infer
October 28, 2025 – October 28, 2025
Efficient multi-GPU OCR inference framework leveraging parallel processes for accelerated token throughput and faster batch processing. Designed for scalable, high-performance optical character recognition workloads using PyTorch. Supports dynamic GPU assignment, optimized resource utilization, and easy integration for large-scale image datasets.
View ProjectPitchLense
September 14, 2025 – Present
PitchLense is a comprehensive AI-powered startup analysis platform that provides detailed risk assessment and growth potential evaluation for early-stage ventures. The platform analyzes multiple dimensions of startup risk and provides actionable insights for investors, founders, and stakeholders.
View ProjectPitchlense-mcp
September 4, 2025 – Present
A comprehensive Model Context Protocol (MCP) package for analyzing startup investment risks using AI-powered assessment across multiple risk categories. Built with FastMCP and LLM.
View Projectfastapi-openapi-markdown-documentation-generator
May 7, 2024 – May 8, 2024
Streamlit Application to generate FastAPI Documentation from the OpenAPI specs and convert it into a markdown API documentation
View ProjectRAGAlchamy
December 12, 2023 – October 14, 2024
Summarize and perform RAG on PPTx/PPT file formats
View ProjectCyberBulling_DNN
February 11, 2021 – March 23, 2021
A Image Classification for Bulling, No Bulling, built on Top of MobleiNet Transfer Learning
View ProjectSolution-for-Various-Problem-Statement-in-Java-
July 22, 2019 – August 30, 2019
Solution-for-Various-Problem-Statement-in-Java-
View ProjectCultural Fit Analysis
The candidate's project portfolio is entirely personal, which demonstrates initiative and self-driven learning. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit, collaboration skills, or alignment with organizational values. The projects are diverse within the AI/ML domain, but the absence of professional experience limits the understanding of their work style in a structured environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest an ability to work on complex technical problems, but collaboration, communication, and problem-solving approaches in a team setting cannot be evaluated without interview data or psychometric test results.