---
title: "Syed Farhaan - AIML Engineer in Mysore | Tal"
description: "Meet Syed Farhaan, AI/ML Engineer | GenAI · RAG · Agentic AI | FastAPI · LangChain · AWS | Ex-DRDO AI/ML Intern | IEEE Published based in Mysore."
image: "https://tal.club/meet/syed-31/share-image"
---

# Syed Farhaan on Tal

## Headline

AI/ML Engineer \| GenAI · RAG · Agentic AI \| FastAPI · LangChain · AWS \| Ex\-DRDO AI/ML Intern \| IEEE Published

## About

AI Engineer with hands\-on experience building production\-grade AI systems at DRDO \(Ministry of Defence, Govt\. of India\) and an IEEE\-published researcher in 3D object detection\. I build things that ship — RAG pipelines, LLM\-powered applications, computer vision models, and full\-stack AI products — using FastAPI, LangChain, PyTorch, AWS, and Docker\. Currently pursuing B\.E\. in Artificial Intelligence & Machine Learning at ATME College of Engineering, Mysuru \(CGPA: 9\.71\) \| Available from mid\-2026 \| Open to relocation\. What I build: 🤖 GenAI & Agentic AI — RAG pipelines, LLM\-powered workflows, AI agents using LangChain & Claude API ⚙️ Full\-Stack Applications — FastAPI \+ React backends, REST APIs, AWS\-based cloud deployments with Docker 📊 ML Solutions — malware detection systems, computer vision \(EfficientNet, Grad\-CAM\), predictive models 🔁 MLOps & Automation — model lifecycle management, workflow automation, voice\-driven AI interfaces Tech Stack: Python · FastAPI · React · LangChain · PyTorch · AWS · Docker · PostgreSQL · Git · HuggingFace At Cognifyz Technologies, I worked end\-to\-end on ML projects — from raw data preprocessing and feature engineering to model deployment — building the engineering discipline that separates ML practitioners from ML engineers\. Beyond internships, I've independently built AI\-powered SaaS products \(ClientProof AI, DevLaunch AI\) from zero to MVP, using Next\.js, Supabase, Stripe, and Claude API — validating ideas with real users before scaling\. I care about clean architecture, measurable impact, and systems that work outside the lab\. 📍 Mysore, India \| Open to relocation \| Available from mid\-2026 📬 farhaansyed34@gmail\.com \| github\.com/syedfarhaan\-dev

## Location

Mysore

## Work experience

AIML Engineer at DRDO, Ministry of Defence, Govt\. of India, Dec 2025 \- May 2026 · 6 mos, Bengaluru, Karnataka, India, AI & Machine Learning Engineer Intern • Developed and optimized machine learning and deep learning solutions for mission\-critical defence applications, working under stringent reliability, security, and performance constraints • Built end\-to\-end ML pipelines involving data acquisition, preprocessing, feature engineering, model training, evaluation, and validation on sensitive, non\-public datasets •Applied computer vision and deep learning techniques to real\-world classification and detection challenges, balancing robustness, inference efficiency, and predictive performance\. • Collaborated with DRDO scientists and research teams to translate complex problem statements into deployable AI solutions aligned with operational requirements • Contributed to AI research workflows, model experimentation, performance benchmarking, and technical documentation within a high\-security R&D environment • Operated within production\-oriented AI infrastructure and secure research environments, contributing deployable solutions under the same reliability standards applied to defence\-grade systems Skills: Python • PyTorch • Machine Learning • Deep Learning • Computer Vision • Data Engineering • Research • Model Evaluation • Secure AI Systems

Head of Creative committee in IET at IET ATMECE STUDENT CHAPTER, Jan 2025 \- Mar 2025 · 3 mos, Karnataka, India, Led the Creative Committee of the IET \(Institution of Engineering and Technology\) Student Chapter at ATME College of Engineering, managing content strategy and visual communication for technical events\. • Directed design and branding for chapter events, workshops, and outreach campaigns, increasing engagement among 300\+ student members\. • Coordinated cross\-functional teams of 8\+ student volunteers, managing timelines, deliverables, and creative direction simultaneously\. • Produced event collateral, social media content, and promotional material that elevated chapter visibility within the college and region Skills: Leadership · Team Management · Event Planning · Creative Direction · Communication

Machine Learning Intern at Cognifyz technology, Oct 2024 \- Mar 2025 · 6 mos, Maharashtra, India, Machine Learning Intern • Delivered end\-to\-end machine learning solutions across multiple project domains, covering data acquisition, preprocessing, feature engineering, model development, evaluation, and deployment preparation • Engineered feature extraction and transformation pipelines for structured datasets, improving model performance through domain\-driven feature selection and optimization • Implemented and benchmarked machine learning algorithms including Random Forest, XGBoost, and Neural Networks, selecting optimal models based on accuracy, interpretability, and business requirements • Built robust data preprocessing workflows involving missing value treatment, outlier analysis, normalization, and data quality validation to improve downstream model reliability • Performed exploratory data analysis \(EDA\), model validation, hyperparameter tuning, and performance evaluation to generate actionable insights from complex datasets • Produced technical reports, model documentation, and reproducible workflows aligned with industry best practices for machine learning development Skills: Python • Scikit\-learn • XGBoost • Pandas • NumPy • Feature Engineering • Machine Learning • Model Evaluation • EDA • Data Preprocessing

## Education

Bachelor of Engineering \(Artificial Intelligence & Machine Learning\), AIML, ATME College of Engineering, Mysuru

[View the original profile](https://tal.club/meet/syed-31)

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