
AI Engineer with less than a year in GenAI & RAG Pipelines
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Assessing your cultural and operational fit
AI Engineer with 11 months of experience in delivering end-to-end AI products, specializing in GenAI and RAG pipelines. Proficient in integrating AI/ML cores with FastAPI, PostgreSQL, and Supabase for production-ready solutions. Successfully built and fine-tuned models for sentiment analysis, customer segmentation, and content generation, significantly improving efficiency and reducing turnaround times for AI-driven campaigns.
Gautam Buddha University
B.Tech · Artificial Intelligence
August 1, 2022 – June 1, 2026
Scalezix
Artificial Intelligence Intern
July 1, 2025 – March 1, 2026
India
1Stop AI (Personifwy)
Artificial Intelligence Intern
May 1, 2025 – June 1, 2025
India
SarvaBhasha - Multilingual Chat Platform
June 27, 2026 – Present
Real-time AI translation (Gemini 1.5 Flash) across 37 languages; FastAPI microservice with Whisper STT, gTTS, and Firebase Auth + Firestore for identity and message persistence.
View ProjectCPA AI Agent - Autonomous Freight Invoice Auditor
June 27, 2026 – Present
7-agent LangGraph pipeline: IBM Docling PDF parsing → Groq Llama 3.3 70B classification & extraction → Supabase dedup → Apify market-rate benchmarking → four-tier anomaly detection; cut audit time from ~15 min to <30s per invoice. Deployed on GCP Cloud Run (Docker), Supabase JWT+RLS auth, Cloudflare CDN, SSE dashboard (18 endpoints), GitHub Actions CI/CD, and 8 pytest modules.
View ProjectHireIQ - Autonomous AI Hiring Agent
June 27, 2026 – Present
5-agent hiring system: Scorer (5-dim resume eval), Interviewer (3-round via Llama 4 Maverick), AI-Response Detector (Llama 3.1 8B), Orchestrator (hire/reject/hold), Learner (DeepSeek-R1 self-improvement); FastAPI + Supabase backend with bulk CSV ingestion and boltai + Shadcn/ui frontend.
View ProjectGenAI Job Simulation
BCG X (Forage)
February 1, 2026 – Present
Data Science Job Simulation
BCG X (Forage)
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong interest and practical application in cutting-edge AI technologies, particularly GenAI and Agentic AI, which aligns well with an AI Engineer role. The diversity of personal projects (invoice auditor, hiring agent, multilingual chat) and internship experiences (AI product delivery, ML model optimization) indicates a broad skill set and a curious, self-driven learning approach. This breadth and depth of engagement with AI suggest a good cultural fit for an innovative and fast-paced AI engineering environment. The candidate's education in Artificial Intelligence further reinforces this alignment.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive, product-oriented mindset, capable of owning end-to-end delivery. The detailed descriptions of project architectures and impact (e.g., 'cut audit time from ~15 min to <30s', 'reducing content lookup time by ~60%') suggest a focus on tangible results and problem-solving. The use of various tools and platforms indicates adaptability and a willingness to learn and integrate new technologies. However, without direct interview data, assessment of collaboration, stress handling, and direct communication clarity is limited.