Kamal M.-AI Systems Engineer & Foundation Model Alignment Consultant
Check rate
Experience
AI Data Annotator
Handshake AI
Worked on Handshake AI’s Project Dynamo as a freelance AI evaluation and data-labeling contributor, focusing on terminal-based agent evaluation and task-quality assessment.
- Reviewed AI agent outputs and terminal traces for tasks similar to Terminal-Bench 2 and Terminal-Bench 3, checking whether the requested task was actually completed.
- Applied detailed evaluation rubrics to assess correctness, completeness, instruction adherence, and quality of final results.
- Identified incorrect, incomplete, or superficially successful outputs by validating the underlying result rather than relying only on the agent’s explanation or response formatting.
- Evaluated whether task specifications and grading criteria accurately measured the intended capability and highlighted ambiguous or inconsistent evaluation conditions.
- Performed careful data annotation and quality review with emphasis on consistency, evidence-based judgment, and reproducibility.
- Provided structured feedback on evaluation outcomes and edge cases to support reliable AI-agent benchmarking and improve the quality of labeled data.
Cloud Security & Zero Trust Intern
Zscaler
- Analyzed Zero Trust architectures and least-privilege access control models, assessing enterprise security perimeters and policy enforcement mechanisms.
- Translated core security access principles into system guardrails applicable to autonomous agent tool execution and automated external API calling.
Artificial Intelligence Intern / Technical Consultant
Edunet Foundation & AICTE
- Curated and structured large-scale datasets for machine learning model validation and fine-tuning experiments, ensuring strict adherence to schema standards.
- Conducted systematic model evaluation across classification architectures, measuring precision, recall, and edge-case failure modes under constrained computational limits.
- Evaluated tokenization pipelines and prompt formatting frameworks aligned with modern foundation model deployment standards.
Cybersecurity & Network Forensic Intern
Palo Alto Networks & AICTE
- Performed deep log forensics, anomalous network traffic inspection, and TCP/IP alert triage within enterprise SOC environments to diagnose attack signatures.
- Authored technical remediation and forensic incident reports detailing root causes, system vulnerabilities, and step-by-step mitigation workflows.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology and Quality Assurance.
Summary
Analytical AI Systems Engineer and Technical Consultant specializing in foundation model evaluation, post-training alignment (RLHF, DPO, RLVR), process-level reward verification, adversarial red teaming, and multimodal computer vision architectures. Proven background engineering production-grade multi-model execution sandboxes, automated data curation pipelines, and hallucination-mitigation engines. Combines advanced multi-language software engineering proficiencies (Python, C++, Java) with competitive cybersecurity achievements (Global Rank 129 DawgCTF) to evaluate multi-step reasoning trajectories, expose edge-case safety vulnerabilities, and enforce ground-truth evaluation standards for enterprise AI deployments.
Skills
- Foundation Model Alignment & Evaluation: Reinforcement Learning From Human Feedback (Rlhf), Direct Preference Optimization (Dpo), Reinforcement Learning With Verifiable Rewards (Rlvr), Process/Outcome Reward Modeling (Prm/Orm), Chain-Of-Thought (Cot) Verification, Pairwise Model Comparison, Hallucination Triage, Ground-Truth Verification, Adversarial Red Teaming, Bias & Safety Auditing.
- Model Architectures & Systems Benchmarking: Frontier Reasoning Models, Mixture-Of-Experts (Moe) Routing, Dense Transformer Architectures, Vision-Language Models (Vlms), Context Window Degradation Profiling, Inference Latency/Throughput Optimization, Output Fidelity Scoring.
- Multimodal Perception & Computer Vision: Vision-Language Feature Alignment, Spatial Bounding Box Auditing, Object Detection & Segmentation (Yolov/Opencv), Multimodal Instruction-Tuning Curation, Image-Text Coherence Auditing, Scene Decomposition Heuristics.
- Systems Programming & Sandboxed Execution: Python (Advanced), C++, Java, C, Sql, Linux/Bash, Abstract Syntax Tree (Ast) Parsing, Os-Level Process Isolation, Resource Containment, Memory Safety, Multi-Threading, Git.
- Retrieval & High-Throughput Curation: Retrieval-Augmented Generation (Rag), High-Throughput Web Ingestion, Semantic Vector Search, Dense Embeddings, Unstructured Data Normalization, Schema Enforcement, Automated Deduplication.
- Adversarial Security & Perimeter Defense: Semantic Jailbreak Mitigation, Prompt Injection Defense, Vulnerability Triage, Behavioral Sandboxing, Automated Security Probing, Zero Trust Architecture.
Languages
Education
Manakula Vinayagar Institute of Technology
Bachelor of Technology · Computer Science & Engineering · Puducherry, India · 8.23 / 10.0
Certifications & licenses
Introduction to Machine Learning
NPTEL, IIT Kharagpur
SOC Fundamentals & Security Triage
LetsDefend Academy
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Kamal is based in Puducherry, India and can operate in on-site, hybrid, and remote work models.
Kamal speaks the following languages: Tamil (Native), English (Advanced).
Kamal has at least 0 years of experience. During this time, Kamal has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 1 month. Note that Kamal may not have shared all experience and actually has more experience.
Based on recent experience, Kamal would be well-suited for roles such as: AI Data Annotator, Cloud Security & Zero Trust Intern, Artificial Intelligence Intern / Technical Consultant.
Kamal's most recent position is AI Data Annotator at Handshake AI.
In recent years, Kamal has worked for Handshake AI, Zscaler, Edunet Foundation & AICTE, and Palo Alto Networks & AICTE.
Kamal is most experienced in industries like Information Technology.
Kamal is most experienced in business areas like Information Technology, Quality Assurance, and Research and Development.
Kamal holds a Bachelor in Computer Science & Engineering from Manakula Vinayagar Institute of Technology.
Kamal has 2 certificates. These include: Introduction to Machine Learning and SOC Fundamentals & Security Triage.
Kamal is immediately available part-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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