Open to full-time software and AI product roles

FULL-STACK ENGINEER / AI PRODUCTS

I build systems that move from insight to action.

I build production AI systems that turn complex data into controlled, useful action.

4+Production AI workflows
100M+Records queried
1669Codeforces peak
750+Problems solved
01 / PROFILE

Engineering decisions,
not just demos.

Full-stack developer focused on agentic AI, distributed backends, and customer-facing products. I own systems end to end - from APIs, queues, databases, and model orchestration to the interfaces people use to make decisions.

01

Agentic products

Natural-language systems that inspect evidence, propose actions, create editable drafts, and keep humans in control.

02

Full-stack ownership

Features carried from schema and API design through queues, integrations, React workflows, deployment, and production support.

03

Systems under constraints

Fast, reliable software built around real limits: large datasets, small GPUs, external APIs, and multi-tenant infrastructure.

02 / EXPERIENCE

Built, shipped,
kept running.

Four roles spanning production AI products, applied machine learning, infrastructure, and measurable customer outcomes.

01

Jan 2026 - Present

Remote

Full Stack Developer - AI Products

CausalFunnel ↗

Own AI-powered marketing systems across paid growth, SEO/GEO, and conversion optimization from backend architecture through customer-facing workflows.

  • Architected a natural-language Google Ads agent using TypeScript, Fastify, PostgreSQL, and Google Ads APIs to audit performance, tracking, search-term waste, budgets, and bidding
  • Enabled controlled campaign creation and optimization through editable drafts, schema validation, approvals, audit trails, asynchronous execution, and provider read-back verification
  • Built a multi-tenant WordPress SEO automation agent with Fastify, Prisma, PostgreSQL, Redis, and BullMQ, including draft, publish, verification, and rollback workflows
  • Extended SEO into generative engine optimization across multiple AI search surfaces, tracking mentions, citations, competitors, and answer quality
  • Shipped an agentic CRO workflow using traffic, heatmaps, user journeys, and funnel signals to propose nudges, A/B tests, and landing-page improvements
TypeScriptReactFastifyPostgreSQLMongoDBRedisBullMQGoogle Ads APIWordPress
02

Jun 2025 - Nov 2025

Remote

AI Intern

Cynapto Technologies

Worked on audiovisual synchronization and neural rendering pipelines under constrained compute.

  • Designed an end-to-end audiovisual synchronization pipeline using bidirectional LSTM networks
  • Improved synchronization accuracy by 30% through sequence-window, model, and feature-alignment experiments
  • Profiled and optimized NeRF rendering pipelines, reducing processing time by 25% while balancing memory and visual quality
PythonBiLSTMNeRFPyTorchComputer Vision
03

Oct 2024 - May 2025

Remote

AI Quality Analyst

KrossWork Solutions

Built applied NLP and backend systems for call auditing, classification, and customer segmentation.

  • Designed a BERT and rule-based call-auditing system analyzing more than 10,000 calls
  • Built a sentiment-aware classifier with 87% accuracy across 1,000+ labeled calls
  • Created eight customer segments that increased conversions by 25%
  • Reduced REST API latency by 40% through LRU caching and lazy loading
PythonBERTNLPREST APIsCaching
04

Jan 2024 - Sep 2024

Remote

Data & ML Intern

Prabha Enterprises

Applied machine learning to delivery forecasting, inventory planning, visual inspection, and supply-chain risk.

  • Designed XGBoost regression models that reduced delivery times by 35%
  • Built a Random Forest inventory pipeline that reduced costs by 20%
  • Deployed ResNet-50 defect inspection with 95% accuracy
  • Forecast supply-chain disruptions with LSTM models at 82% precision
PythonTensorFlowXGBoostResNet-50LSTM
03 / SELECTED WORK

Proof through
working systems.

Six projects across large-scale data, constrained inference, explainable AI, knowledge graphs, computer vision, and agentic execution.

01

Approximate query processing at 100M+ record scale

TrendForage

5xfaster execution

Architected an approximate query-processing engine that avoids full scans by using probabilistic stream sampling with measurable accuracy bounds.

  • Queries datasets containing more than 100 million records
  • Benchmarks latency, throughput, sample size, and approximation error in real time
  • Produced findings that contributed to two co-authored research publications
PythonProbabilistic SamplingLarge-Scale DataBenchmarking
02

Domain AI inference on constrained GPU memory

Galenos

3.8Bparameters fine-tuned

Built an end-to-end domain-specific assistant spanning data preparation, model fine-tuning, optimized inference, and real-time streamed responses.

  • Fine-tuned Phi-3 with QLoRA and 4-bit quantization
  • Fit model inference inside the 15 GB memory limit of an NVIDIA T4
  • Engineered Socket.io streaming and efficient context handling
PythonPhi-3QLoRASocket.ioNVIDIA T4
03

Explainable deep-learning market pattern engine

CognitiCharts

87%pattern accuracy

Combined TensorFlow and PyTorch pattern recognition with SHAP-based explainability to reduce false positives and make model decisions inspectable.

  • Reduced false positives by 28% with explainable AI
  • Reached a 2.3 Sharpe ratio on five years of backtested data
  • Built during Sahamati BuildAAthon 2024
TensorFlowPyTorchSHAPTime Series
04

Graph-RAG engine grounded in Ayurvedic knowledge

Atreya

90%grounded accuracy

Created a grounded retrieval system with LangChain and Neo4j Aura over a structured knowledge graph of more than 1,000 herbs.

  • Improved retrieval precision by 75%
  • Measured a 40% improvement in treatment efficacy
  • Built for Smart India Hackathon and Social Summer of Code
Graph RAGLangChainNeo4jHealthcare AI
05

Species classification and fishery yield optimization

FinAlogica

95%classification accuracy

Delivered a MobileNetV3 classifier behind FastAPI and connected real-time weather signals to a PostgreSQL-backed yield optimization workflow.

  • Used transfer learning for accurate species classification
  • Added RBAC and bcrypt-backed access control
  • Boosted modeled fishery productivity by 30%
MobileNetV3FastAPIPostgreSQLSocket.io
06

Simulation-first agentic tooling for EVM workflows

BlockAgent Toolkit

40%less deployment time

Orchestrated autonomous contract workflows with Web3.js and REST APIs while using controller-led simulation as a safety boundary.

  • Handled more than 1,000 monthly transactions
  • Designed controller logic for safer contract execution
  • Built across Celo, Aurora, and Harmony ecosystems
Web3.jsAgentic AIEVMREST APIs
04 / ENGINEERING STACK

Broad enough to own it.
Deep enough to debug it.

From DNS and TLS at the edge to queues, model APIs, databases, and the product interface.

01

Networking & Web Internals

DNSHTTP/HTTPSTLSTCPReverse ProxyingWebSocketsNginxNetwork Debugging
02

Languages

TypeScriptJavaScriptPythonJavaC++Rust
03

Full-Stack & APIs

ReactNext.jsNuxt.jsNode.jsExpressFastifyFastAPIFlaskREST APIsWebhooks
04

Backend & Distributed Systems

MicroservicesEvent-Driven ArchitectureApache KafkaBullMQBackground WorkersCachingApache Spark
05

Data

PostgreSQLMongoDBMySQLRedisNeo4jPrismaQuery OptimizationIndexing
06

Authentication & Security

JWTOAuth 2.0Auth0RBACbcryptTenant IsolationRate LimitingSSRF Protection
07

Cloud & DevOps

AWS EC2AWS S3DockerDocker ComposeKubernetesGitHub ActionsCI/CDLinux/Bash
08

Integrations

Google Ads APIWordPress APIShopify APIStripeRazorpaySocket.io
09

AI & LLM Engineering

Multi-provider LLM APIsRAGLangChainQLoRATensorFlowPyTorchPrompt EngineeringTool Calling
10

Testing & Core CS

PytestJestVitestPostmanIntegration TestingData Structures & AlgorithmsOOPSystem Design
05 / PROBLEM SOLVING

Practice that compounds.

Algorithms sharpen implementation. Systems thinking makes the implementation useful in production.

750+problems solved
1669Codeforces peak
Expertcompetitive rank
06 / RECOGNITION

Measured beyond
the project list.

01Top 0.1%

Industry-sponsored Kaggle ML competition

Ranked among 2,700+ submissions

02Expert

Codeforces competitive programming rank

Peak rating of 1669

03Finalist

Code with Cisco

Recognized among top Software Engineer candidates

04Top 5%

GATE Computer Science 2025 & 2026

Qualified twice in the national examination

05750+

LeetCode problems solved

Data structures, algorithms, and system design

07 / EDUCATION

JSS Academy of Technical Education, Noida

Bachelor of Technology in Computer Science and Engineering

Period
2022 - 2026
CGPA
8.0 / 10
Status
Graduating 2026