I'm a Software Engineer who started in design and worked my way through
the full stack into AI/ML and systems architecture.
My path has been anything but linear — I began as a Product Designer at
a Bengaluru startup in 2021, moved through UI/UX roles in Singapore,
built full-stack applications across multiple early-stage companies, and
gradually shifted toward the intersection of AI and backend engineering.
That journey taught me something most pure engineers miss: how to think
about systems from the user's perspective before writing a single line
of code.
Today I build enterprise-grade backend microservices and AI orchestration
layers at ZenMinds Technologies — integrating OCR pipelines, LLM agents,
and predictive dashboards into ERP workflows that handle real business
complexity. Before this, I shipped GenAI prompt pipelines serving 1K+
daily users at Mondee and built RAG-based medical assistants at DigiQuanta
that cut diagnostic query latency by 45%.
On the research side, I've published at IEEE (cuffless blood pressure
estimation using SWIN Transformers, IIT BHU), hold an Indian patent for
AI-powered waste segregation, and I'm currently contributing to a
Federated Continual Learning survey at IIT Hyderabad spanning 186+ papers
across 8 continual learning paradigms.
════════════════════════════════════════════════════════════════
BY THE NUMBERS
════════════════════════════════════════════════════════════════
11 professional roles · 3 research contributions · 1 patent
5x hackathon winner · B.Tech CSE, VIT Chennai (8.20 CGPA)
════════════════════════════════════════════════════════════════
Philosophy: Build systems that are boring to operate and delightful to
use. Ship fast, measure everything, refactor without guilt. The best
architecture is the one your team can reason about at 2 AM.
Vellore Institute of Technology, Chennai
Bachelor of Technology — Computer Science & Engineering
CGPA: 8.20 | Sep 2021 – Sep 2025
Activities:
├── Sponsorship & Management Lead — REVA Special Team
├── Programming & Electrical Member — HumanoidX
├── Content & Technical Member — VITrendZ
└── Member — Webster's
CURRENTLY BUILDING
├── Enterprise ERP microservices with AI orchestration @ ZenMinds
├── Agentic workflows using LangGraph & LangChain for real-world automation
└── Open-source AI developer tools (solo builds, Claude API, zero-infra)
CURRENTLY RESEARCHING
├── Federated Continual Learning @ IIT Hyderabad (survey paper in progress)
└── Privacy-preserving, scalable AI systems for continual model improvement
CURRENTLY EXPLORING
├── System Design patterns for distributed AI pipelines
├── LoRA/QLoRA fine-tuning workflows for domain-specific VLMs
└── DevOps for ML — MLOps, model serving, observability at scale
════════════════════════════════════════════════════════════════════
CURRENT
════════════════════════════════════════════════════════════════════
⬢ Software Engineer ZenMinds Technologies, Hyderabad
Jan 2026 – Present
├── Designing scalable backend microservices & RESTful APIs for
│ enterprise ERP modules spanning inventory, manufacturing & finance
├── 30% API response latency improvement through Redis caching,
│ query optimization & horizontal scaling patterns
├── Integrating OCR document pipelines & AI orchestration layers
│ into ERP workflows for automated invoice processing
├── Building intelligent dashboard generation & predictive reporting
│ systems powered by LLM-based agents
├── Implementing async task queues with structured logging &
│ centralized error tracing for full observability
└── Tech: Python, Spring Boot, Redis, PostgreSQL, Docker, AWS
⬢ Research Intern IIT Hyderabad
Jan 2025 – Present
├── Working on Federated Learning & Class-Incremental Learning,
│ focusing on privacy-preserving, scalable AI systems for
│ continual model improvement
├── Surveying 186+ FCL papers across 8 continual learning paradigms
├── Proposing a novel six-dimensional experimental setup taxonomy
│ & dual-axis Paradigm-Setup matrix
└── Addressing spatial-temporal catastrophic forgetting under
non-IID data heterogeneity in federated settings
════════════════════════════════════════════════════════════════════
2025
════════════════════════════════════════════════════════════════════
◆ AI Engineer Intern Mondee, Hyderabad
Apr 2025 – Oct 2025
├── Designed & optimized GenAI prompt pipelines for Aarna (Mondee's
│ AI travel platform) enabling personalized itinerary generation
├── Served 1K+ daily users deployed on AWS (EC2, S3) with auto-scaling
│ infrastructure and load-balanced API endpoints
├── Implemented agentic RAG workflow using LangGraph, LangChain &
│ custom ML models — improved query relevance by 25%
├── Instrumented distributed tracing via Langfuse & OpenTelemetry
│ for end-to-end pipeline observability
└── Tech: Python, LangChain, LangGraph, AWS, Langfuse, OpenTelemetry
◆ Software Developer Intern DigiQuanta, Hyderabad
Jan 2025 – Mar 2025
├── Developed a RAG-based medical assistant using embedding models
│ & vector-indexed retrieval over 5K+ healthcare records
├── Reduced diagnostic query latency by 45% through optimized
│ chunking strategies & re-ranking algorithms
├── Built a voice-enabled AI diagnostic tool supporting multilingual
│ queries using speech recognition & GenAI APIs
├── Achieved sub-3s response time via cloud-hosted REST endpoints
│ with centralized logging & error tracing
└── Tech: Python, Flask, Embeddings, Vector DBs, Speech APIs
════════════════════════════════════════════════════════════════════
2024
════════════════════════════════════════════════════════════════════
◇ Junior Researcher IIT BHU, Varanasi
Jun 2024 – Jul 2024
├── Developed a cuffless blood pressure estimation system using
│ ECG & PPG physiological signals
├── Applied signal-to-image conversion with bispectrum & bicoherence
│ spectral features for non-invasive BP prediction
├── Implemented SWIN Transformer backbone achieving high accuracy
│ in both systolic & diastolic BP predictions
├── Validated results against AAMI/BHS international standards
├── Published findings at IEEE conference proceedings
└── Tech: Python, PyTorch, SWIN Transformers, Signal Processing
◇ SDE Intern Growth Ventures, Bengaluru (Remote)
Feb 2024 – May 2024
├── Implemented new product features & improved existing software
│ functionality across the company's digital services platform
├── Designed customized strategies & technical solutions to help
│ businesses achieve optimal growth outcomes
├── Conducted rigorous testing & QA cycles — increased user
│ satisfaction metrics by 25%
└── Tech: JavaScript, React.js, Node.js, REST APIs
◇ Machine Learning Intern Growth Ventures, India (Remote)
Dec 2023 – Feb 2024
├── Assisted in developing, optimizing & evaluating machine learning
│ models for business intelligence applications
├── Collaborated with the team to design & implement new ML
│ algorithms, architectures & training techniques
├── Performed data preprocessing, feature engineering, model
│ selection & hyperparameter tuning
└── Tech: Python, Scikit-Learn, TensorFlow, Pandas
════════════════════════════════════════════════════════════════════
2023
════════════════════════════════════════════════════════════════════
○ Full Stack Developer Startuply, India (Remote)
Aug 2023 – Present
├── Developed interactive web applications with end-to-end ownership
│ across frontend & backend
├── Integrated third-party APIs & built RESTful services for
│ client-facing features
├── Managed deployment pipelines & database operations for
│ production environments
└── Tech: ReactJS, Node.js, Express.js, MongoDB
○ Application Developer Intern RedeFin Capital, Hyderabad (Remote)
May 2023 – Sep 2023
├── Designed wireframes & interactive prototypes using Figma &
│ Adobe XD for the company's fintech products
├── Collaborated with the product team to define & optimize user
│ flows, navigation patterns & interaction models
└── Tech: Figma, Adobe XD, UI/UX Design
○ UI/UX Designer Nirji Ventures, Singapore (Remote)
Feb 2023 – Jun 2023
├── Collaborated on gathering requirements from stakeholders &
│ translating business needs into design specifications
├── Developed wireframes, interactive prototypes & high-fidelity
│ designs across web & mobile platforms
├── Iterated on designs based on user feedback & usability testing
└── Tech: Adobe XD, Figma, Prototyping
════════════════════════════════════════════════════════════════════
2021
════════════════════════════════════════════════════════════════════
○ Product Designer Youngify, Bengaluru
Sep 2021 – Nov 2021
├── Created UI/UX designs, wireframes & prototypes for early-stage
│ product conceptualization at Youngify startup
├── Collaborated on user flows, design documentation & visual
│ identity for the product launch
└── Tech: Figma, Adobe XD, Design Systems
|
|
|
|
@inproceedings{mishra2024swin,
title = {Cuffless Blood Pressure Estimation using SWIN Transformers},
author = {Mishra, Manu},
booktitle = {IEEE Conference Proceedings},
year = {2024},
lab = {IIT BHU, Varanasi},
status = {PUBLISHED},
url = {https://ieeexplore.ieee.org/document/10958421},
abstract = {Non-invasive BP estimation via signal-to-image conversion using
bispectrum and bicoherence spectral features with SWIN Transformer
backbone. Validated against AAMI/BHS international standards.}
}
@article{mishra2025fcl,
title = {Federated Continual Learning: A Comprehensive Survey},
author = {Mishra, Manu},
journal = {Under Review},
year = {2025},
lab = {IIT Hyderabad},
status = {ONGOING},
note = {186 FCL papers across 8 CL paradigms. Proposes novel six-dimensional
experimental setup taxonomy and dual-axis Paradigm-Setup matrix.}
}
@patent{mishra2024waste,
title = {A System and Method for Automated Waste Segregation},
number = {Indian Patent: 202441064693},
author = {Mishra, Manu},
year = {2024},
status = {GRANTED},
url = {https://iprsearch.ipindia.gov.in/PublicSearch/PublicationSearch/PatentDetails},
note = {AI-powered construction waste segregation using CV-based classification
and conveyor sorting — 2x recycling throughput over manual methods.}
}📄 IEEE Paper — Cuffless BP Estimation · 🏛️ Indian Patent — 202441064693
LANGUAGES = "Python, C++, Java, JavaScript, SQL"
FRAMEWORKS = "Spring Boot, Node.js, Express.js, React.js, Flask, REST APIs, Microservices, System Design"
AI_ML = "PyTorch, TensorFlow, Transformers, LLM Fine-tuning (LoRA/QLoRA), RAG, LangChain, LangGraph, Agentic AI"
CLOUD_DEVOPS = "AWS (EC2, S3, Lambda), Docker, Redis, Git, CI/CD, Linux"
DATABASES = "PostgreSQL, MongoDB, MySQL"
OBSERVABILITY = "Langfuse, OpenTelemetry, Structured Logging"
DESIGN = "Figma, Adobe XD"
COURSEWORK = "DSA, OOP, Machine Learning, Deep Learning, NLP, Distributed Systems"
[2023-12] GRAND FINALIST Smart India Hackathon 2023 — 15th / 100+ teams nationwide
[2022-11] 2ND PLACE Smart India Hackathon 2022 — AI smart bin "Money Plant"
[2022-03] ROOKIE AWARD Hackhub 2022 — Smart Attendance System (online + offline)
[2021-xx] 1ST PRIZE IoT Hackathon — Automated waste management solution
[2019-xx] 1ST PRIZE Smart India Hackathon 2019 — Pollution & garbage management
├── Machine Learning Pipelines with Azure ML Studio Coursera
├── Google Cloud Digital Leader Training Coursera
├── Professional Cloud Security Engineer Coursera
├── AWS Academy Cloud Foundations Coursera
└── Create a No-code Responsive Website with Webflow Coursera
$ echo "building things that matter."