---
title: "Aakar Sharma - Tech Lead in Bengaluru | Tal"
description: "Meet Aakar Sharma, Tech Lead Healthify | IIT Alum based in Bengaluru. AI stack includes claude code, codex, and cursor. Explore public work links including github."
image: "https://tal.club/meet/aakar-sharma/share-image"
---

# Aakar Sharma on Tal

## Headline

Tech Lead Healthify \| IIT Alum

## Location

Bengaluru

## AI stack

claude code

codex

cursor

langfuse

langgraph

livekit

## Work experience

Tech Lead at Healthify, Jun 2024 \- Present · 2 yrs 3 mos, Leading engineering for AI\-first health and nutrition products at Healthify, building scalable backend and ML systems across food intelligence, personalization, glucose prediction, and real\-time AI coaching\. Currently leading a 14\+ member engineering team across architecture, execution, hiring, mentorship, and delivery of business\-critical consumer products\. My work spans high\-scale Python backend systems, recommendation engines, computer vision, Vision LLMs, real\-time voice AI, and data\-driven personalization systems that power millions of user interactions and contribute directly to major revenue lines\.

Senior Software Engineer / ML Engineer at Healthify, Jun 2022 \- May 2024 · 2 yrs, Moved deeper into core ML and high\-scale backend systems, building production\-grade intelligence for food recognition, personalization, and metabolic health\. Created and scaled Snap, Healthify’s image\-based food recognition system, enabling users to log meals through photos\. Built backend pipelines, trained and iterated on classification and recognition models, and contributed to the evolution of the system into a Vision LLM\-powered architecture fine\-tuned on Healthify’s data\. Also worked on Continuous Glucose Monitor systems, including device integration, calibration, and personalized glucose prediction\. Built a Temporal Fusion Transformer model to predict user\-specific glucose responses based on food, workout, and historical glucose patterns, contributing to a major CGM\-led revenue line\.

Software Engineer at Healthify, Jun 2020 \- May 2022 · 2 yrs, Started my journey at Healthify by building backend and ML systems for Smart Plan, an AI\-led nutrition product designed to scale personalized health guidance beyond human coaching\. Worked on core planning and recommendation systems, including calorie distribution, meal suggestions, and food personalization\. Designed algorithmic components using optimization approaches such as multifaceted knapsack\-style modeling, and built recommendation models using LightFM and AWS Personalize\. This work helped establish Smart Plan as an independent product line and shaped my foundation in building business\-critical, scalable consumer health systems\.

Student Intern at The Captury, May 2019 \- Jul 2019 · 3 mos, Saarland, Worked on applied computer vision research focused on image understanding and visual recognition systems\. Contributed to model experimentation, data preprocessing, evaluation workflows, and performance analysis for vision\-based ML pipelines\. This internship strengthened my foundation in computer vision, deep learning, and research\-oriented problem solving, later helping me build production ML systems such as image\-based food recognition at Healthify\.

Research Intern at University of Bordeaux, Jun 2018 \- Jul 2018 · 2 mos, Bordeaux Area, France, Worked on research\-oriented software and machine learning problems in an international academic environment\. Contributed to literature review, experimentation, implementation, and analysis while collaborating with researchers and peers across geographies\. This experience helped build my early foundation in structured research, independent problem solving, and translating academic ideas into working technical prototypes\.

## Education

Bachelor of Technology \- BTech, Computer Science, Indian Institute of Technology, Jammu

Delhi public school

## Public links

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

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

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