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Sumit Bhimte.Full Stack Developer.

Specializing in AI-powered web apps, RAG pipelines, and scalable cloud platforms.

Founding Engineer at Numerize.ai.
Expert in React, Node.js, Django, and Generative AI.

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src/model/AsymmetricGAN.py
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# Monocular Depth Estimation (IEEE)
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import torch
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import torch.nn as nn
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class AsymmetricGAN(nn.Module):
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def __init__(self):
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super().__init__()
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self.encoder = SwinTransformer()
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self.decoder = DepthDecoder()
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def forward(self, x):
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# Stage 1: Enhance illumination
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enhanced = self.gan(x)
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# Stage 2: Estimate depth
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return self.decoder(enhanced)
BASH/usr/bin/sumit
❯python train.py --epochs 100 --gpu 0
NUMERIZE.AIFounding Engineer
CENTIFICIntern
L&T TECHAssoc. Engineer
IIIT ALLAHABADM.Tech ML
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Architecting reliable, high-performance systems.

From optimizing GraphQL services to orchestrating complex workflows with Temporal.

Backend Engineering

Built end-to-end activity tracking and tax solutions serving 5,000+ contractors. Reduced manual processing by 90%.

DevOps & Scale

Orchestrated invoice workflows with Temporal. Integrated HyperTest to cover 90% of backend flows.

config/skills.yaml
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# Skills & Expertise Configuration
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languages:
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core: ["Python", "C++", "TypeScript"]
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web: ["React", "Node.js", "Django"]
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ai_ml:
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frameworks: ["PyTorch", "TensorFlow", "LangChain"]
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focus: ["Generative AI", "RAG", "LLMs"]
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achievements:
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coding: "Solved 750+ DSA problems"
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impact: "Reduced support tickets via AI chat"
INTERACTIVE RESUME/usr/bin/sumit
?
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Professional Experience.

Building scalable systems and leading technical initiatives across fintech and SaaS platforms.

Numerize.ai

Full Stack Developer (Founding Engineer)

Hyderabad, India
July 2024 - Present
  • ▸Architected and deployed a financial reconciliation platform for 200+ customers, improving reporting efficiency by 40%
  • ▸Integrated Razorpay payment gateway, processing 500+ daily transactions with improved success rates
  • ▸Automated data ingestion and reporting pipelines with n8n, cutting processing errors and eliminating repetitive workflows
  • ▸Led development of AI-enabled features (custom finance tool, chat-based support), projected to reduce support tickets

Centific

Full Stack Developer Intern

Hyderabad, India
Jan 2024 - July 2024
  • ▸Streamlined backend integration of multiple models with private datasets using RAG architecture
  • ▸Improved data retrieval accuracy and reduced response latency with context-aware API workflows
  • ▸Developed and optimized API workflows to deliver accurate, context-aware outputs

L&T Technology Services

Associate Engineer

Mysore, India
Aug 2021 - July 2022
  • ▸Designed and implemented a test automation harness using PyTest to validate RTOS firmware
  • ▸Integrated test automation into CI/CD pipeline (Azure Pipelines), ensuring faster, reliable releases
  • ▸Applied Agile practices with Git and JIRA for seamless cross-functional collaboration
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Technical Stack.

Comprehensive expertise across backend development, cloud infrastructure, and modern DevOps practices.

Languages & Frameworks

C++PythonJavaScriptTypeScriptReactNode.jsExpress.jsDjangoFlaskPytest

Cloud & DevOps

DockerGCPGitCI/CD (GitHub Actions, Azure Pipelines)DevOps

AI/ML & Data

Generative AIRAG PipelinesLLM IntegrationLangChainLangGraphTensorFlowPyTorch

Databases

MySQLMongoDBPineconeArangoDB
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Key Projects & Achievements.

Delivering impactful solutions that drive business value and technical excellence.

Monocular Depth Estimation

Proposed a two-stage model using Asymmetric GAN and Swin Transformer for low-light images. Published in IEEE Xplore.

Published in IEEE Xplore, accurate depth in low-light

Financial Reconciliation Platform

Architected a platform for Numerize.ai serving 200+ customers. Integrated Razorpay and automated pipelines with n8n.

40% efficiency boost, 80% manual effort reduction

RAG Architecture for Private Datasets

Streamlined integration of models with private datasets for improved retrieval accuracy and reduced latency during Centific internship.

Improved retrieval accuracy, reduced latency

Real-time Pothole Detection

Built a detection system using YOLOv4 and sensor data to improve driver safety and enable proactive maintenance.

Real-time detection using YOLOv4

Test Automation Harness (L&T)

Designed PyTest harness for RTOS firmware validation, integrated into Azure Pipelines.

90% automated test coverage
src/model/AsymmetricGAN.py
1
# Two-stage Low-light Enhancement
2
class AsymmetricGAN(nn.Module):
3
def __init__(self):
4
super().__init__()
5
self.encoder = SwinTransformer()
6
self.decoder = DepthDecoder()
7
8
def forward(self, x):
9
# Enhance illumination first
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enhanced = self.gan(x)
11
return self.decoder(enhanced)
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Impact & Metrics.

Quantifiable results from engineering solutions that scale.

90%
Reconciliation Time Reduced
10k+
Daily Transactions Processed
35%
Retrieval Accuracy Boost
750+
DSA Problems Solved
40%
Hallucinations Reduced
70%
Manual Testing Reduced
3 Weeks
MVP Delivery Time
50%
API Workflow Optimized
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Education.

Foundation in Electronics and Communication Engineering from one of India's premier institutions.

Indian Institute of Information Technology, Allahabad

Master of Technology in Machine Learning

2022 - 2024
GPA: 8.60/10

Savitribai Phule Pune University

Bachelor of Engineering in Computer Engineering

2017 - 2021
CGPA: 7.76/10
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Get In Touch.

Open to opportunities and collaborations. Let's build something great together.

Contact Information

Email
hi@sumitbhimte.com
Book a Call
15 min Meeting
Phone
+91-9172019494
Location
Pune / Hyderabad, India

Connect With Me

LinkedIn
linkedin.com/in/sumitbhimte
GitHub
github.com/sumit-bhimte
Download Resume PDF