MOHD ABIDULLAH SHAREEF
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Machine Learning & RAG Architectures
Third-year B.E. candidate specialising in Artificial Intelligence and Machine Learning at Osmania University, with demonstrated expertise in large language model integration, retrieval-augmented generation (RAG) architectures, and multimodal system design. Holds two concurrent industry internships (Data Science at The Skybrisk; Web Development at Unify Labs) and has won the 'Best Hack on Al Track' award at HackPrix, a 48-hour national hackathon supported by AWS and Devfolio. Proficient in architecting end-to-end Al pipelines from NLP preprocessing and deep learning inference to full-stack deployment with a focus on socially impactful applications for Indic-language communities. Seeks to contribute to and deepen expertise in applied machine learning and intelligent systems.
Osmania University
Bachelor of Engineering · Artificial Intelligence & Machine Learning
August 1, 2023 – June 30, 2027
The Skybrisk (theskybrisk.com)
Data Science Intern
February 1, 2026 – May 31, 2026
India
Unify Labs
Web Development Intern
January 1, 2026 – March 1, 2026
India
Blogify & QR Review System - Full-Stack Secure Content Platform
June 5, 2026 – Present
Engineered a security-first full-stack platform with TOTP/OTP multi-factor authentication (HMAC-SHA1), UUID v4 session-bound anti-replay QR tokens, and parameterised SQL injection defences; persistence layer on Supabase (PostgreSQL) with row-level security (RLS) policies and PgBouncer connection pooling for horizontal scalability. Integrated Three.js WebGL 3D interactive UI components with progressive enhancement fallbacks for non-GPU contexts; designed normalised ER schemas with composite indexing on high-cardinality query paths and implemented automated OTP-gated write-operation controls.
KrishAI - Multimodal Agricultural Diagnostic System
June 5, 2026 – Present
Engineered a voice-first NLP pipeline optimised for low-resource regional dialects (Telugu, Hindi, Marathi), incorporating phoneme-level preprocessing, dialect-adaptive tokenisation, and transformer-based intent classification to enable field-level usability without literacy prerequisites, targeting sub-3-second inference latency on low-specification Android devices. Architected a multimodal crop health diagnostic engine fusing CNN-based leaf image analysis with structured agronomic metadata (soil NPK profiles, rainfall indices, pest calendars) to generate probabilistic disease classifications; implemented context-aware dialogue management with RAG-based context injection for coherent multi-turn conversations.
SerenAlve - Digital Mental Health Monitoring System
June 5, 2026 – Present
Architected a React/Node.js/Supabase digital health platform with HIPAA-aligned data minimisation and end-to-end encryption; implemented a fine-tuned BERT-variant sentiment analysis layer classifying user text across emotional valence axes (positive, neutral, distressed, crisis-indicative), producing continuous distress-severity scores per session. Engineered a longitudinal trend analysis subsystem applying windowed time-series modelling over distress scores; statistically significant deterioration trajectories trigger configurable escalation notifications, with strict architectural separation between ML inference pipelines and PII storage.
Cognix - Agentic AI Educational Assistant with RAG Architecture
June 5, 2026 – Present
Architected a multi-agent autonomous workflow orchestrated via n8n (event-driven microservices), wherein specialised agents handle query decomposition, FAISS vector-indexed knowledge retrieval, Gemini API-powered answer synthesis, and citation verification as decoupled pipelines - measurably reducing hallucination rates relative to zero-shot prompting baselines. Implemented real-time educational data ingestion with automatic vector store re-indexing for response currency without model retraining; designed chain-of-thought prompt engineering with confidence-score thresholding to enforce structured, auditable reasoning traces across all agent interactions.
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic and personal projects, showcases a broad interest in AI/ML applications, from agricultural diagnostics to mental health monitoring and educational assistants. Their focus on 'AI for Bharat' and low-resource languages indicates a strong alignment with impactful, community-driven initiatives. Active participation in GDG events and continuous self-directed study demonstrate a proactive and collaborative learning mindset, which is a good cultural fit for innovation-driven teams. The candidate's target role as an AI Engineer aligns well with their demonstrated skills and interests.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative, a proactive learning attitude, and a commitment to socially impactful AI solutions. Their participation in hackathons and community events suggests good collaboration potential and ability to perform under pressure. The detailed project descriptions indicate strong problem-solving skills and an ability to articulate complex technical concepts. However, as an early-career candidate, direct experience in a senior operational role is limited.