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Experienced in Python for Data Science and Analysis. Currently expanding expertise in Machine Learning and Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
verity-finance
March 10, 2026 – Present
Architected a FastAPI backend serving as a central hub for real-time earnings, trading, and macroeconomic data, integrating external REST APIs (RapidAPI/Tavily). Engineered a Swarm AI agent orchestration framework to autonomously parse financial metrics and synthesize comprehensive market analysis reports tailored for investment bankers and retail.
View ProjectAmazon-Price-Prediction-Qwen3-4b-Finetune
December 7, 2025 – Present
Ensemble transformer and LLM fine tuning for Amazon price prediction based on product images and descriptions. Top 50 in Amazon's Machine Learning Challenge 2025
View Projectdevops-agent-repo
November 21, 2025 – November 21, 2025
devops-agent-repo — GitHub repository
View ProjectSmartSure
December 23, 2024 – December 23, 2024
Our AI-driven platform provides personalized insurance plans, exclusive discounts, and expert financial advice, all based on your comprehensive fitness scores tracked monthly.
View ProjectAirsim-Projects
July 23, 2024 – September 26, 2024
Contains projects made with Unreal Engine and its plugin Microsoft Airsim.
View ProjectData-Science
July 8, 2024 – July 8, 2024
All Source Codes & other materials for sessions taken by Akshansh would be uploaded here
View ProjectINNOV8-HumanAIze-FintechEdition
June 22, 2024 – August 18, 2024
INNOV8-HumanAIze-FintechEdition — GitHub repository
View ProjectProteomic-and-Genomic-Drug-Development
April 5, 2024 – Present
An end-to-end generative AI pipeline for Proteomic and Genomic drug development, featuring custom DNA/Protein generation, PPI analysis, and SMILES drug design.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, self-initiated projects, indicating a strong drive for learning and exploration in AI/ML. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative corporate environment. The projects are diverse within the AI/ML domain, showing broad interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a proactive and self-directed individual, but there is no information on teamwork, communication, or problem-solving in a collaborative environment.