---
title: "Akilan Elango - AI Intern in Bengaluru | Tal"
description: "Meet Akilan Elango, CS @ PES University | Computer Vision & MLOps | PyTorch · TensorRT · Edge AI (Jetson) | IEEE Co-Author | Seeking New-Grad ML/CV Roles based in Bengaluru. AI stack includes claude code, claude, and gemini. Explore public work links including github."
image: "https://tal.club/meet/akilan-elango/share-image"
---

# Akilan Elango on Tal

## Headline

CS @ PES University \| Computer Vision & MLOps \| PyTorch · TensorRT · Edge AI \(Jetson\) \| IEEE Co\-Author \| Seeking New\-Grad ML/CV Roles

## About

Graduate of PES University, focused on Computer Vision and MLOps — I build deep learning systems end to end, from raw data engineering through to optimized inference on edge hardware\. As an AI Intern at Inferigence Quotient, I worked across the full vision pipeline: large\-scale dataset engineering \(COCO→DOTA conversion, Oriented Bounding Box generation\), production image\-tiling engines for OBB detection, automated annotation refinement with Segment Anything \(SAM\), and model interpretability via GradCAM/GradCAM\+\+\. On the deployment side, I built an edge\-benchmarking toolkit for NVIDIA Jetson — parsing Tegrastats and TensorRT logs to profile P50–P99 latency, power, and utilization across FP16/FP32/INT8 precision modes\. Earlier, as Lead Software Developer on an autonomous pest\-detection rover at the PESU Center for IoT, I deployed a CNN\-based vision system on Raspberry Pi and ESP32 with automated drift monitoring\. That work was co\-authored into a research paper presented at an IEEE conference\. Core toolkit: PyTorch · TensorFlow · OpenCV · YOLO/OBB · TensorRT · NumPy · Shapely/NetworkX · FastAPI · Linux/Git I'm looking for new\-grad roles in computer vision, ML engineering, or MLOps where I can own problems end\-to\-end\. Open to connecting — akilanelango2004@gmail\.com\.

## Location

Bengaluru

## AI stack

claude code

claude

gemini

openai

claudecode

ChatGPT

## Work experience

AI Intern at Inferigence Quotient Pvt Ltd, Jan 2026 \- May 2026 · 5 mos, Bengaluru, Karnataka, India, \- Built an end\-to\-end COCO→DOTA dataset pipeline: filtered large\-scale datasets by class and converted polygon masks to minimum\-area Oriented Bounding Boxes \(OpenCV \+ NumPy\) at scale\. \- Developed production image\-tiling engines for OBB detection — configurable overlap tiling, Shapely\-based polygon intersection/area filtering, and full directory mirroring\. \- Engineered an automated annotation\-refinement pipeline using Segment Anything \(SAM\) to tighten labels from model masks, with YOLO\-OBB output and per\-image metadata traceability\. \- Integrated GradCAM/GradCAM\+\+ into mmYOLO workflows and built a quantitative heatmap\-analysis framework \(per\-class TP/FP/FN correspondence, coverage ratios\) producing diagnostic CSVs\. \- Built an NVIDIA Jetson edge\-benchmarking toolkit: custom Tegrastats/TensorRT log parsers and a telemetry suite computing P50–P99 latency, 1ms\-binned histograms, and power/utilization across FP16/FP32/INT8\. \- Collaborated on the full ML lifecycle \(dataset prep → training → evaluation → edge deployment\) in Linux/Git environments\.

Intern at PESU Center For IoT, Jun 2025 \- Jul 2025 · 2 mos, Bengaluru, Karnataka, India, \- Led software development of an autonomous agricultural rover for real\-time pest detection\. \- Designed and deployed a CNN\-based vision system on Raspberry Pi and ESP32 for on\-device edge inference\. \- Built automated monitoring for schema and statistical data\-drift detection\. \- Co\-authored a research paper presented at an IEEE conference \(Jan 2026\)\.

## Education

Bachelor of Technology \- BTech, Computer Science, PES University

High School Diploma, CBSE, The Brigade Schools \- Bengaluru

## Public links

- github: https://github\.com/akilanelango

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

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