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AI/ML Engineer & Full-Stack Data Solutions

Versatile AI & Software Systems Engineer with an MCA degree. Skilled in architecting automated ETL data ingestion pipelines (cutting overhead by 35%), training verified predictive ML models (>85% accuracy), orchestrating LLM/RAG workflows with vector embeddings, and deploying containerized FastAPI microservices.

HEAD TRACKING

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LOCATION

Kolkata, WB, India

3D AVATAR TELEMETRY

HEAD POSE: CURSOR TRACKING

GPU FPS: 60 FPS

NEURAL CORE: RAG + FASTAPI + ML

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Automated ETL

-35% Overhead

Multi-source ingestion pipeline

ML Baselines

>85% Accuracy

Supervised k-fold cross-val

RAG Retrieval

<200ms Latency

FAISS/ChromaDB vector store

Regression Modeling

R² = 0.88

10,000+ records valuation

// TAB 02 : PROOF OF ENGINEERING

Featured Engineering Case Studies

Deep technical case studies covering production RAG assistants, multi-camera traffic computer vision, multi-spectral satellite analytics, and regularized predictive modeling.

// TAB 03 : ARCHITECTURAL MATRIX

Technical Skills & Competencies

Six multi-disciplinary domains spanning AI/GenAI architectures, advanced database querying, asynchronous APIs, automated ETL pipelines, cloud DevOps, and systems administration.

// TAB 04 : CAREER & ACADEMICS

Career Proof & Education

work Professional Experience

school Academic Degrees

emoji_events Certifications & Achievements

NPTEL Certification: Data Analytics Using Python

Validated expertise in Pandas, NumPy, and statistical machine learning algorithms.

Smart India Hackathon (SIH) Participant

Developed real-time data analytical solutions within an intensive 36-hour sprint.

Leadership: Cultural Club Organizing Committee

Managed event logistics, operational budgets, and technical resources.

OFFICIAL 1-PAGE ATS RESUME (PDF DOCUMENT)

NILADRI PAL

AI/ML ENGINEER • FULL-STACK DATA SOLUTIONS • AUTOMATION & CLOUD SYSTEMS

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Kolkata, WB, India +91 9749708917 niladri6202@gmail.com github.com/niladripalmca24-cyber

PROFESSIONAL SUMMARY

Versatile AI & Software Systems Engineer with an MCA degree, offering multi-disciplinary expertise across Data Analytics, Data Science, Machine Learning Engineering, AI Automation, and Full-Stack Web Development. Skilled in architecting automated ETL data ingestion pipelines (cutting overhead by 35%), training verified ML models (>85% accuracy), orchestrating LLM/RAG workflows with high-dimensional vector embeddings, developing containerized REST APIs (FastAPI), and deploying production web systems across PaaS and cloud platforms. Proven aptitude in building scalable, production-ready software solutions.

TECHNICAL SKILLS & COMPETENCIES

Languages & Scripting: Python (Advanced), SQL (PostgreSQL, MySQL, SQLite), JavaScript (ES6+), Bash/Shell Scripting, HTML5, CSS3

AI, GenAI & Automation: LLM Orchestration (LangChain, LlamaIndex), RAG Architecture, Vector DBs (FAISS, ChromaDB), Prompt Engineering, PyTorch, Scikit-Learn, NLP, Computer Vision

Web & Backend Engineering: FastAPI, Flask, RESTful API Design, Asynchronous Execution (asyncio), Microservices Architecture, JSON Streaming, Postman API Testing

Data Analytics & Databases: Pandas, NumPy, Advanced SQL (Window Functions, CTEs, Joins, Indexing, Query Tuning), Automated ETL Pipelines, Outlier Imputation, Model Evaluation, EDA

Cloud, DevOps & Deployment: Docker (Containerization), PaaS Hosting (Render, Vercel, Netlify), Google Cloud Run, Git/GitHub (CI/CD Workflows)

Systems & Productivity: Linux (Kali/Ubuntu System Admin), Bash Shell Scripting, Microsoft Excel (Advanced Pivot Tables, Lookups, Data Modeling, AI Excel Tools & Copilot Automation)

PROFESSIONAL EXPERIENCE

Euphoria GenX — AI/ML & Data Trainee Jan 2026 – Jun 2026 | Kolkata, India

Automated Data Pipelines: Architected automated Python ETL pipelines for multi-source data ingestion, eliminating manual intervention and slashing preprocessing overhead by 35%.
ML Baselines & Validation: Developed and tuned supervised predictive models using Scikit-Learn; maintained accuracy consistently above 85% via k-fold cross-validation and hyperparameter optimization.
Exploratory Data Analysis & APIs: Conducted statistical validation and anomaly detection on high-dimensional datasets; packaged trained inference routines into modular REST API endpoints.

Ardent Computech Pvt. Ltd. — Cybersecurity Intern Mar 2025 – Jul 2025 | Kolkata, India

Log Telemetry Analytics: Analyzed structured Linux system log streams (syslog, auth.log) and high-throughput network telemetry to detect operational anomalies, performance bottlenecks, and security events.
Compliance Automation: Authored custom Python automation utilities to extract, structure, and sanitize endpoint telemetry for automated audit reporting; hardened Linux configurations.

EDUCATION

Master of Computer Applications (MCA)

Future Institute of Engineering and Management (2024 – 2026)

Bachelor of Computer Applications (BCA)

Raiganj University (2019 – 2022)

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Let's Build Something High-Impact

I am currently open for full-time engineering roles, AI automation & ML system initiatives, and full-stack software architecture collaborations.

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github.com/niladripalmca24-cyber

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