Mohammed Faizan
Open to work3 years experienceFull-Stack & AI Engineer
Full-Stack & AI Engineer specializing in end-to-end LLM products and RAG pipelines.
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
21 skillsWork Experience
Team Lead – Software Engineering
Adaptive AI Ventures
- Led delivery of production AI systems and LLM workflows by owning architecture-to-deployment, improving reliability and delivery speed
- Cut production issues and iteration cycles by instituting structured design reviews and scalable engineering practices
- Raised team output quality by mentoring engineers on RAG pipelines, LLM development, and prompt engineering
- Accelerated feature rollout by coordinating across product and engineering to ship AI features on tight timelines
AI Engineer
Adaptive AI Ventures
- Improved response accuracy ~30% by building RAG pipelines across OpenAI, Gemini, Llama2, and Mistral
- Reduced manual processing time ~95% by developing LLM-powered document intelligence workflows
- Raised operational efficiency ~70% by automating data extraction and processing pipelines
- Designed end-to-end AI systems spanning data ingestion, retrieval, LLM processing, and output validation
- Built evaluation frameworks tracking accuracy, latency, and reliability across AI services
- Deployed scalable AI services using Docker, Kubernetes, and GCP/AWS
Projects
Knacktor
- Visual DSA learning platform where real executed Python drives animated, line-by-line algorithm visualizations.
- Validated the concept with 20 pilot users in active user testing while iterating on clarity and beginner comprehension
- Built a real-code simulation engine converting each executed Python line into a synchronized visual step with live variables and complexity counters
- Scaled content to thousands of problems via a data-driven pipeline with no new UI per problem
- Blocked misleading visualizations using validation gates: trace validation, DSL linting, dry-run, and coverage checks
- Optimized delivery with a DB-canonical architecture, gzip-compressed traces, and lazy-loaded solution approaches
ResumePros AI
- AI SaaS that turns a generic resume into a job-specific, ATS-ready resume via analysis and truth-preserving optimization.
- Architected a multi-stage LLM workflow instead of one black-box prompt
- Made scoring explainable by pairing LLM extraction with TypeScript deterministic scoring across skill, keyword, experience, and ATS match
- Prevented hallucinated experience with an evidence-gathering questionnaire engine plus coverage checks on the final resume
- Hardened the pipeline with prompt-injection safety, isolating untrusted resume/JD content from system instructions
- Built an LLM eval harness with a feedback loop converting user edits into test cases
- Instrumented AI observability and cut spend via input fingerprinting, cached regeneration, and regeneration caps
- Shipped full SaaS solo: Next.js, MongoDB, NextAuth, Stripe billing, admin dashboard, and Playwright PDF export
Document Understanding AI Pipeline
- Built an end-to-end RAG document-processing system using OCR, embeddings, and LLMs for automated extraction
- Improved throughput by optimizing retrieval accuracy and generation latency across the pipeline
Product Analytics Dashboard
- Cut manual KPI tracking by building a FastAPI + Streamlit dashboard consolidating 8+ SaaS metrics with funnel, cohort, and real-time monitoring
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Generative AI Leader Specialization
Generative AI Leader Specialization — Google Cloud
Google Prompting Essentials
Google Prompting Essentials — Google
Automation Business Analysis
Automation Business Analysis — Concepts and Principles — UiPath
About Details
Professional Bio
Full-Stack & AI Engineer who ships end-to-end LLM products from architecture to deployment. Solo-built and launched two live AI SaaS products, and delivered production RAG pipelines and LLM workflows in a team-lead role. Skilled at turning ambiguous problems into reliable, production-grade systems.
Master of Computer Applications (MCA)
Government College of Engineering, Aurangabad (2022 - 2024)
Bachelor of Science (Computer Science)
Maulana Azad College, Aurangabad (2019 - 2022)