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AI/ML Developer
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leadflow-ai
June 11, 2026 – Present
Leads discovery using Places API, email enrichment (local and ai methods supported), and outreach automation (bulk emailer).
View ProjectAI-Voice-Agents
December 18, 2025 – Present
Production-ready voice agents and speech pipelines: STT → LLM/Agent → TTS, voice receptionists, telephony, call recording, tool/function calling. Built with Twilio, OpenAI Whisper, ElevenLabs, Vapi/Retell, FastAPI, WebSockets, ffmpeg; designed for deployment, monitoring, and real-world reliability
View ProjectOutreach-Automation-AI
June 24, 2025 – August 23, 2025
An AI-powered tool that automates discovery, extraction, and outreach for advertising and marketing contacts across websites. It finds the best emails or forms, parses them intelligently, and sends personalized outreach — all fully automated.
View Projectanimation-generator
May 11, 2025 – May 16, 2025
Finetuned Stable Diffusion (text-image and img2img) model variants on Ghibli-themed images (scraped from multiple sources), to create a Python-based system capable of generating frames for animations.
View Projectsupermarket-sales-analysis
March 16, 2025 – March 23, 2025
This project focuses on Data Mining techniques to gather inisights about customer behaviour regarding Supermarket Sales. Includes: Association Rule Mining, Temporal Patterns in customer behavior, Sequential Pattern Mining, Classification, Regression, and Outlier Detection.
View ProjectGuage
February 7, 2025 – February 7, 2025
Financial Sentiment Analysis. Utilized analyst reports, each focusing on a different stock. Leveraging RAG, NLP, and an LLM, the project objective was to predict sentiments accurately. The resulting app allows users to easily input reports and gain insights into whether stocks are worth buying, should be sold, etc.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in AI/ML and data-driven solutions, aligning well with a Data Scientist role. The diversity of projects (e.g., sales analysis, financial sentiment, voice agents, marketing automation) suggests adaptability and a broad technical curiosity. However, the lack of team-based projects or explicit collaboration details 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 suggest a proactive and hands-on approach to problem-solving and application development.