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AI Engineer with 1+ years in machine learning and MLOps
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Assessing your cultural and operational fit
Final-year Data Science student with a strong foundation in machine learning, computer vision, and multimodal AI — demonstrated through real-world projects spanning predictive modeling, MLOps pipelines, and multi-agent systems. Skilled in turning data into deployable, impactful solutions using Python, PyTorch, and the full ML stack.
National University of Computer and Emerging Sciences
Bachelors in Data Science · Data Science
August 1, 2022 – Present
Generation's School
O/A Levels in Sciences · Sciences
August 1, 2018 – June 1, 2022
Faculty Research Support Grant (FRSG)
Research Assistant
January 1, 2025 – February 1, 2026
India
National University of Computer and Emerging Sciences
Teaching Assistant - Probability and Statistics
January 1, 2024 – June 1, 2024
India
MLOps Pipeline | Fake News Detection
May 1, 2026 – Present
Built a production-grade fake news detection system with automated drift detection that triggers model retraining without human intervention, 92% faster deployments via CI/CD, and full observability stack (MLflow, Docker, Prometheus, Grafana, Alertmanager, GitHub Actions).
View ProjectLaunchMind: Multi-Agent AI System
April 1, 2026 – Present
Built a Multi-Agent AI System where 5 LLM-powered agents autonomously collaborate to run a micro-startup, handling product spec generation, code commits, and marketing copy end-to-end. Integrating real-world APIs (GitHub, Slack, SendGrid) with dynamic CEO orchestration and feedback loops using CrewAI.
View ProjectMulticultural Meme Hate Speech Detection (Vision-Language Models)
November 1, 2025 – December 1, 2025
Developed a Cultural Calibration Framework integrating enhanced prompt engineering, logit-based classification, and culture-specific decision thresholds to improve fairness and robustness in multimodal hate speech detection across diverse cultural contexts.
View ProjectCrickVision: Data-Driven Cricket Intelligence System
August 1, 2025 – Present
A full-stack cricket analytics web app that integrates ML models to replace intuition-based decision-making with prescriptive, data-driven insights for coaches, selectors, and franchise managers. Built end-to-end ML pipelines on 50,000+ Cricsheet ball-by-ball records to deliver predictive player rankings, bowling synergy scores, and form/fatigue trends via a centralized executive dashboard.
View ProjectAI-Powered Game Bot for Street Fighter II
May 1, 2025 – Present
Developed an AI-powered Game Bot for Street Fighter II by training a custom ML model on gameplay interaction data to interpret real-time game states and execute adaptive strategies, replacing rule-based logic with data-driven decision-making.
View ProjectNear-Real Time Datawarehouse Prototype for METRO
November 1, 2024 – December 1, 2024
Built a Near-Real Time Data Warehouse for METRO by implementing ETL pipelines with MeshJoin across multi-source data streams to analyze customer shopping behavior and optimize retail selling strategies.
View ProjectData Analytics Job Simulation
Deloitte Australia, Forage
June 1, 2025 – Present
Data Science Job Simulation
British Airways, Forage
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI/ML topics, including MLOps, multi-agent systems, and multimodal AI, which aligns well with an innovative, research-driven culture. The diversity of projects (cricket analytics, fake news detection, game bot, hate speech detection, data warehousing) shows adaptability and a broad intellectual curiosity. However, the experience is primarily academic, and there is limited information on collaboration within a professional team setting, which is crucial for cultural fit in many organizations.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, end-to-end systems, suggesting strong problem-solving and project management skills. Participation in academic societies (Fast Data Science Society, Takhleeq Society) hints at teamwork and leadership potential, though specific contributions are not detailed. The teaching assistant role suggests communication and mentorship abilities.