Portfolio

Aditya Pratap Singh Tomar

Building recruiter-ready software and ML systems with measurable outcomes.

Data Scientist | Software Engineer | MLOps Engineer

Built with measurable outcomes, clean execution, and production-minded engineering.

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Projects
Flagship Projects
My strongest software engineering and data science builds, with measurable outcomes.
Scalable MLOps-driven market prediction system with real-time analytics, automated retraining, and cloud-native deployment.
Engineered a production-grade financial forecasting platform processing 1M+ market data points with automated retraining pipelines, drift-aware evaluation, and low-latency cloud deployment.
MLOpsTime-Series ForecastingCI/CDMicroservicesCloud InfrastructureDistributed Systems
  • Built cloud-native forecasting platform with automated training, evaluation, and deployment workflows
  • Designed modular microservice architecture for scalable AI inference and analytics pipelines
  • Implemented CI/CD pipelines with containerized deployment and production-grade infrastructure setup
  • Integrated drift monitoring and retraining workflows for adaptive financial prediction systems
  • Optimized real-time inference pipeline for low-latency forecasting and scalable API serving
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Scoped to ForesightX - The Future Has Signals. We Decode Them.
AI-powered ECG interpretation, remote consultations, and real-time healthcare intelligence in a unified clinical platform.
Developed a full-stack healthcare AI ecosystem achieving 91.3% F1 on ECG benchmarks with sub-150ms inference alongside integrated telemedicine, patient workflows, and diagnostic assistance.
Healthcare AIDeep LearningSignal ProcessingReal-time SystemsFull Stack Development
  • Built AI-driven healthcare platform combining ECG diagnostics, telemedicine, and patient monitoring
  • Integrated transformer-based ECG classification pipeline with near real-time clinical inference
  • Implemented secure video consultations, digital health records, and AI-assisted diagnostic workflows
  • Designed scalable backend services and healthcare-focused system architecture for responsive care delivery
  • Developed anomaly detection and rhythm classification pipelines using custom ECG preprocessing workflows
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Scoped to PulseCare AI - Intelligent Cardiac Diagnostics & Telehealth Platform
LLM-powered interview automation with adaptive questioning, candidate evaluation, and recruiter-ready analytics.
Engineered an AI recruitment ecosystem capable of generating resume-aware interviews, evaluating candidate responses, and producing structured hiring insights through automated workflows.
Generative AILLM EngineeringBackend SystemsWorkflow AutomationRecruitment Intelligence
  • Developed AI-powered interview engine with resume-aware and job-description-aware adaptive questioning
  • Built end-to-end recruitment workflow covering candidate onboarding, interviews, evaluation, and reporting
  • Implemented automated recruiter scoring and structured performance analytics using LLM-based evaluation
  • Integrated speech processing and conversational AI workflows for interactive interview experiences
  • Designed scalable backend APIs and database workflows for recruiter and candidate management
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Scoped to IntelliHire AI - Autonomous Recruitment & Interview Intelligence Platform
AI-driven resume tailoring, ATS optimization, and smart job matching for modern hiring workflows.
Built an end-to-end career intelligence platform enabling automated resume customization, ATS analysis, and AI-assisted job discovery with production-ready full-stack deployment.
Generative AILLMsATS OptimizationPrompt EngineeringFull Stack Development
  • Developed AI-powered resume customization based on job descriptions using LLM-driven workflows
  • Implemented ATS scoring and keyword optimization to improve recruiter-facing resume quality
  • Built intelligent job-role matching system with semantic resume analysis and recommendation logic
  • Designed responsive full-stack platform with real-time document processing and dynamic resume generation
  • Integrated automated career assistance workflows for resume refinement and application preparation
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Scoped to CareerPilot AI - Intelligent Resume & Job Matching Platform
Multimodal computer vision pipeline for automated drywall crack and seam segmentation using prompt-aware deep learning.
Engineered a reproducible end-to-end industrial AI pipeline achieving 0.3643 macro IoU and 0.5055 Dice Score using CLIPSeg + CNN refiner architecture with prompt-conditioned segmentation and experiment-tracked ML workflows.
Computer VisionSemantic SegmentationMultimodal AIMLOpsIndustrial AI
  • Built prompt-conditioned segmentation pipeline for drywall crack and seam detection using CLIPSeg and SAM
  • Designed reproducible ML workflow with DVC, MLflow, and DagsHub for experiment tracking and evaluation
  • Implemented pseudo-mask generation pipeline for weakly supervised segmentation from box-only datasets
  • Optimized CLIPSeg + CNN refiner architecture with Focal Tversky loss for thin-structure defect segmentation
  • Developed automated binary mask export system with benchmark evaluation using IoU and Dice metrics
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Scoped to VisionInspect - Prompt-Conditioned Industrial Defect Segmentation System
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Experience
Trusted to ship AI systems
Roles focused on production ML, evaluation, and cross-functional delivery.
AI Engineer
CronLabs Solutions Pvt. Ltd. (OneTapp Group)
Feb 2026 - Present
  • Developed AI-powered resume customization and portfolio generation features using LLM-based agents to tailor resumes according to job descriptions and role requirements.
  • Built an AI-driven resume-job matching system that analyzed job postings and generated optimized resume suggestions to improve relevance and ATS compatibility.
  • Worked on backend development for the company's SaaS product, designing and integrating APIs, business logic, and AI-agent workflows into the application architecture.
Agentic BackendDjango ServicesLangChain AgentsN8N Workflow Orchestration
Lead Engineer
CatalyzeIQ Pvt. Ltd.
Jan 2026 - Feb 2026
  • Designing core backend services and AI-driven workflow architecture in a zero-to-one startup.
  • Collaborating with founders to define scalable systems, automation pipelines, and product direction.
  • Leading high-impact deliverables across engineering and data teams.
AI ArchitectureBackend ServicesAutomation PipelinesSystem Design
AI Research Intern
Suryavanshi Ventures Pvt. Ltd.
Aug 2025 - Sep 2025
  • Engineered AI-driven healthcare agents using LangGraph and LangChain, boosting startup growth by 15-20%.
  • Optimized backend workflows with FastAPI, SQLAlchemy, and Poetry, cutting API latency by 20%.
LangGraphLangChainFastAPISQLAlchemyPoetry
ML Intern
Priyam Innovations Pvt. Ltd.
Jun 2025 - Jul 2025
  • Built an AI-powered interview platform MVP with GPT-3.5 question generation (~80% relevance).
  • Implemented multi-modal sentiment analysis on 100+ interview transcripts and real-time video (~75% accuracy).
GPT-3.5OpenCVHuggingFaceSentiment Analysis
Skill Proof
Depth over buzzwords
Click a skill to review resume-backed evidence for software engineering and data science roles.
ML System Engineering
Designing end-to-end ML systems from data prep to production inference.
Evidence from 4 projects
Projects
  • ForesightX - The Future Has Signals. We Decode Them.
    Engineered a production-grade financial forecasting platform processing 1M+ market data points with automated retraining pipelines, drift-aware evaluation, and low-latency cloud deployment.
  • PulseCare AI - Intelligent Cardiac Diagnostics & Telehealth Platform
    Developed a full-stack healthcare AI ecosystem achieving 91.3% F1 on ECG benchmarks with sub-150ms inference alongside integrated telemedicine, patient workflows, and diagnostic assistance.
  • IntelliHire AI - Autonomous Recruitment & Interview Intelligence Platform
    Engineered an AI recruitment ecosystem capable of generating resume-aware interviews, evaluating candidate responses, and producing structured hiring insights through automated workflows.
  • Student Lifestyle and Academic Performance Predictor
    Built a 2,000-record data science pipeline with feature engineering, cross-validation, and regression modeling.
Tools & Proof
PythonPyTorchPandasScikit-learnLangChain
Depth indicator
4 validated project examples with implementation details recruiters can verify.
Achievements
Signals of impact
Recognitions that highlight real-world results.
SIH'25 Finalist
Smart India Hackathon 2025 - Problem Statement PS-25189.
Kaggle Rank 196
Top ~1.7% among 11,450 participants in Kaggle Playground Series S5E11.
GATE'26 DA
AIR-3930 in Data Science and Artificial Intelligence
350+ DSA Problems
Solved across platforms and earned the GFG160 badge.
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Contact Me
Let's connect
Have a project in mind or want to discuss opportunities? I’d love to hear from you.
I’m open to software engineering, data science, and ML engineering roles — and new collaborations.
aditya.pratap.singh.tomar.1082006@email.com+91-78982-92920Gwalior, Madhya Pradesh, India
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ADITYA PRATAP SINGH TOMAR